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NEUROCOMPUTING JOURNAL

  • Neurocomputing (journal)
  • Academic journal

    Neurocomputing is a peer-reviewed scientific journal covering research on artificial intelligence, machine learning, and neural computation. It was established

    Neurocomputing (journal)

    Neurocomputing_(journal)

  • List of artificial intelligence journals
  • List of academic journals in artificial intelligence

    Neural Networks (journal) – Elsevier Neural Computation (journal) – MIT Press Neurocomputing (journal) - Elsevier IEEE Transactions on Evolutionary Computation

    List of artificial intelligence journals

    List_of_artificial_intelligence_journals

  • List of computer science journals
  • Communications Review Molecular Informatics Natural Computing Neural Networks Neurocomputing Parallel Processing Letters Pattern Recognition Letters PeerJ Computer

    List of computer science journals

    List_of_computer_science_journals

  • Karim Ouazzane
  • British computer scientist

    (2012) 'Neuro-fuzzy approach to video transmission over Zigbee; Neurocomputing journal, DOI: 10.1016/j.neucom.2012.10.006 K. Ouazzane, J. Li, H. Kazemian

    Karim Ouazzane

    Karim_Ouazzane

  • Reservoir computing
  • Type of recurrent neural network with random and non-trainable internal structure

    Gallicchio, Claudio; Micheli, Alessio (2013). "Tree Echo State Networks". Neurocomputing. 101: 319–337. doi:10.1016/j.neucom.2012.08.017. hdl:11568/158480. Aoun

    Reservoir computing

    Reservoir_computing

  • Computational neuroscience
  • Branch of neuroscience

    Commons has media related to Computational neuroscience. Journal of Mathematical Neuroscience Journal of Computational Neuroscience Neural Computation Cognitive

    Computational neuroscience

    Computational_neuroscience

  • Informatics
  • Field of study of computational systems

    2007-09-17. Wang, Yingxu (2013). "Basic theories for neuroinformatics and neurocomputing". 2013 IEEE 12th International Conference on Cognitive Informatics and

    Informatics

    Informatics

  • Extreme learning machine
  • Type of artificial neural network

    with Extreme Learning Machine". Neurocomputing. 73 (7–9): 1405–1416. doi:10.1016/j.neucom.2009.12.007.{{cite journal}}: CS1 maint: multiple names: authors

    Extreme learning machine

    Extreme_learning_machine

  • Physics-informed neural networks
  • Technique to solve partial differential equations

    solving forward and inverse problems in partial differential equations". Neurocomputing. 420: 299–316. arXiv:1907.08967. doi:10.1016/j.neucom.2020.09.006. ISSN 0925-2312

    Physics-informed neural networks

    Physics-informed neural networks

    Physics-informed_neural_networks

  • Mean absolute percentage error
  • Measure of prediction accuracy of a forecast

    Rossi (2015). "Mean absolute percentage error for regression models", Neurocomputing 2016 arXiv:1605.02541 "Understanding Forecast Accuracy: MAPE, WAPE,

    Mean absolute percentage error

    Mean absolute percentage error

    Mean_absolute_percentage_error

  • Hyperparameter (machine learning)
  • Parameter controlling the machine learning process

    optimization of machine learning algorithms: Theory and practice". Neurocomputing. 415: 295–316. arXiv:2007.15745. doi:10.1016/j.neucom.2020.07.061. ISSN 0925-2312

    Hyperparameter (machine learning)

    Hyperparameter_(machine_learning)

  • Walter Pitts
  • American logician and computational neuroscientist (1923–1969)

    1943, Bulletin of Mathematical Biophysics 5:115–133. Reprinted in Neurocomputing: Foundations of Research. Edited by James A. Anderson and Edward Rosenfeld

    Walter Pitts

    Walter Pitts

    Walter_Pitts

  • U-Net
  • Type of convolutional neural network

    "Pixel-wise regression using U-Net and its application on pansharpening". Neurocomputing. 312: 364–371. doi:10.1016/j.neucom.2018.05.103. ISSN 0925-2312. S2CID 207119255

    U-Net

    U-Net

  • Attention (machine learning)
  • Machine learning technique

    (2021-09-10). "A review on the attention mechanism of deep learning". Neurocomputing. 452: 48–62. doi:10.1016/j.neucom.2021.03.091. ISSN 0925-2312. Soydaner

    Attention (machine learning)

    Attention (machine learning)

    Attention_(machine_learning)

  • Neuroinformatics
  • Field of research

    According to German National Library, neuroinformatics is synonymous with neurocomputing. At Proceedings of the 10th IEEE International Conference on Cognitive

    Neuroinformatics

    Neuroinformatics

  • Neural network (machine learning)
  • Computational model used in machine learning

    Siew CK (2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1): 489–501. CiteSeerX 10.1.1.217.3692. doi:10.1016/j.neucom.2005

    Neural network (machine learning)

    Neural network (machine learning)

    Neural_network_(machine_learning)

  • Recursive neural network
  • Type of neural network which utilizes recursion

    general framework for unsupervised processing of structured data". Neurocomputing. 57: 3–35. CiteSeerX 10.1.1.3.984. doi:10.1016/j.neucom.2004.01.008

    Recursive neural network

    Recursive_neural_network

  • Autoencoder
  • Neural network that learns efficient data encoding in an unsupervised manner

    Wen-Chie (2008). "Modeling word perception using the Elman network". Neurocomputing. 71 (16–18): 3150. doi:10.1016/j.neucom.2008.04.030. Liou, Cheng-Yuan;

    Autoencoder

    Autoencoder

    Autoencoder

  • Krzysztof Cios
  • Data scientist

    (Kybernetes), the University of Toledo Outstanding Faculty Research Award, the Neurocomputing Best Paper Award and the Fulbright Senior Scholar Award. He is listed

    Krzysztof Cios

    Krzysztof_Cios

  • Activation function
  • Artificial neural network node function

    functions in deep learning: A comprehensive survey and benchmark". Neurocomputing. 503. Elsevier BV: 92–108. arXiv:2109.14545. doi:10.1016/j.neucom.2022

    Activation function

    Activation function

    Activation_function

  • Kevin Knuth
  • American astrophysicist (born 1965)

    (2005). "Lattice duality: The origin of probability and entropy". Neurocomputing. 67: 245–274. doi:10.1016/j.neucom.2004.11.039. hdl:2060/20040081076

    Kevin Knuth

    Kevin_Knuth

  • Universal approximation theorem
  • Property of artificial neural networks

    (April 1999). "Lower bounds for approximation by MLP neural networks". Neurocomputing. 25 (1–3): 81–91. doi:10.1016/S0925-2312(98)00111-8. Guliyev, Namig;

    Universal approximation theorem

    Universal_approximation_theorem

  • Echo state network
  • Type of reservoir computer

    "Analyzing the weight dynamics of recurrent learning algorithms". Neurocomputing. 63: 5–23. doi:10.1016/j.neucom.2004.04.006. Dominey P.F. (1995). "Complex

    Echo state network

    Echo state network

    Echo_state_network

  • Amir Hussain (cognitive scientist)
  • IEEE Sensors Journal, Neural Networks, Knowledge Based Systems (KBS), IET Proceedings on Vision, Image & Signal Processing, Neurocomputing, Speech Communication

    Amir Hussain (cognitive scientist)

    Amir Hussain (cognitive scientist)

    Amir_Hussain_(cognitive_scientist)

  • Computer vision
  • Computerized information extraction from images

    for Reducing the Hardware Cost of a Convolutional Neural Network". Neurocomputing. 407: 439–453. doi:10.1016/j.neucom.2020.04.018. S2CID 219470398. Convolutional

    Computer vision

    Computer_vision

  • Optuna
  • Hyperparameter optimization framework

    optimization of machine learning algorithms: Theory and practice". Neurocomputing. 415: 295–316. arXiv:2007.15745. doi:10.1016/j.neucom.2020.07.061. ISSN 0925-2312

    Optuna

    Optuna

  • Random subspace method
  • Method in machine learning

    prediction with random subspace ensembles of support vector machines" (PDF). Neurocomputing. 63: 535–539. doi:10.1016/j.neucom.2004.07.007. hdl:2434/9370. Ho, Tin

    Random subspace method

    Random_subspace_method

  • Continuous or discrete variable
  • Types of numerical variables in mathematics

    models of neural systems in infinite-dimensional abstract spaces". Neurocomputing. 74 (17): 2711–2715. doi:10.1016/j.neucom.2010.11.005. Griva, Igor;

    Continuous or discrete variable

    Continuous or discrete variable

    Continuous_or_discrete_variable

  • List of datasets for machine-learning research
  • Non-parametric noise variance estimation and its use for model selection". Neurocomputing. 69 (1): 100–122. doi:10.1016/j.neucom.2005.02.015. Bay, Stephen D.;

    List of datasets for machine-learning research

    List_of_datasets_for_machine-learning_research

  • Topological deep learning
  • Research field in deep learning

    generalization gap in neural networks using topological data analysis". Neurocomputing. 596 127787. arXiv:2203.12330. doi:10.1016/j.neucom.2024.127787. Rieck

    Topological deep learning

    Topological_deep_learning

  • Knight's tour
  • Mathematical problem set on a chessboard

    K. C. Lee. "Neural network computing for knight's tour problems." Neurocomputing, 4(5):249–254, 1992. Media related to Knight's Tours at Wikimedia Commons

    Knight's tour

    Knight's tour

    Knight's_tour

  • Gaussian process
  • Statistical model

    (2023). "A mixed-categorical correlation kernel for Gaussian process". Neurocomputing. 550 126472. arXiv:2211.08262. doi:10.1016/j.neucom.2023.126472. Platanios

    Gaussian process

    Gaussian_process

  • Nonlinear dimensionality reduction
  • Projection of data onto lower-dimensional manifolds

    and Herault J., Rankvisu: Mapping from the neighbourhood network, Neurocomputing, vol. 72 (13–15), pp. 2964–2978, 2009. Rosman, G.; Bronstein, M.M.;

    Nonlinear dimensionality reduction

    Nonlinear dimensionality reduction

    Nonlinear_dimensionality_reduction

  • List of Elsevier periodicals
  • Mutation Research Nano Today Neural Networks Neurobiology of Aging Neurocomputing NeuroImage Neuromuscular Disorders Neuropharmacology Neuropsychologia

    List of Elsevier periodicals

    List_of_Elsevier_periodicals

  • Softmax function
  • Smooth approximation of one-hot arg max

    Network Outputs, with Relationships to Statistical Pattern Recognition. Neurocomputing: Algorithms, Architectures and Applications (1989). NATO ASI Series

    Softmax function

    Softmax_function

  • Gated recurrent unit
  • Memory unit used in neural networks

    short-term memory and dependent bidirectional recurrent neural network". Neurocomputing. 356: 151–161. arXiv:1803.01686. doi:10.1016/j.neucom.2019.04.044. S2CID 3675055

    Gated recurrent unit

    Gated_recurrent_unit

  • Support vector machine
  • Set of methods for supervised statistical learning

    Hornik, Kurt (September 2003). "The support vector machine under test". Neurocomputing. 55 (1–2): 169–186. doi:10.1016/S0925-2312(03)00431-4. Hsu, Chih-Wei;

    Support vector machine

    Support_vector_machine

  • Self-organizing map
  • Machine learning technique useful for dimensionality reduction

    Self-Organizing Map to Failure Modes and Effects Analysis Methodology" (PDF). Neurocomputing. 249: 314–320. doi:10.1016/j.neucom.2016.04.073. Park, Young-Seuk; Tison

    Self-organizing map

    Self-organizing map

    Self-organizing_map

  • LeNet
  • Convolutional neural network structure

    Automatic Learning". In Soulié, Françoise Fogelman; Hérault, Jeanny (eds.). Neurocomputing. Berlin, Heidelberg: Springer. pp. 303–318. doi:10.1007/978-3-642-76153-9_35

    LeNet

    LeNet

    LeNet

  • Image restoration by artificial intelligence
  • (2022-05-28). "A survey of deep learning approaches to image restoration". Neurocomputing. 487: 46–65. doi:10.1016/j.neucom.2022.02.046. ISSN 0925-2312. v t e

    Image restoration by artificial intelligence

    Image restoration by artificial intelligence

    Image_restoration_by_artificial_intelligence

  • Action potential
  • Neuron communication by electric impulses

    PMID 10713861. S2CID 11388348. Anderson JA, Rosenfeld E, eds. (1988). Neurocomputing: Foundations of Research. Cambridge, Massachusetts: The MIT Press.

    Action potential

    Action potential

    Action_potential

  • Hyperparameter optimization
  • Process of finding the optimal set of variables for a machine learning algorithm

    optimization of machine learning algorithms: Theory and practice". Neurocomputing. 415: 295–316. arXiv:2007.15745. doi:10.1016/j.neucom.2020.07.061. Franceschi

    Hyperparameter optimization

    Hyperparameter_optimization

  • Backpropagation
  • Optimization algorithm for artificial neural networks

    connectionist models summer school. Vol. 1. 1988. Hecht-Nielsen, Robert (1990). Neurocomputing. Internet Archive. Reading, Mass. : Addison-Wesley Pub. Co. pp. 124–125

    Backpropagation

    Backpropagation

  • Fault detection and isolation
  • Subfield of control engineering

    with efficient hyperparameters tuning and geometric interpretation". Neurocomputing. 218: 411–422. doi:10.1016/j.neucom.2016.08.093. Liu, Ruonan; Yang,

    Fault detection and isolation

    Fault_detection_and_isolation

  • Connectionism
  • Cognitive science approach

    (1989). "Chapter 1: (1890) William James Psychology (Brief Course)". Neurocomputing: Foundations of Research. A Bradford Book. p. 1. ISBN 978-0-262-51048-6

    Connectionism

    Connectionism

    Connectionism

  • Convolutional neural network
  • Type of feedforward neural network

    for Reducing the Hardware Cost of a Convolutional Neural Network". Neurocomputing. 407: 439–453. doi:10.1016/j.neucom.2020.04.018. S2CID 219470398. Archived

    Convolutional neural network

    Convolutional_neural_network

  • Matching pursuit
  • Multidimensional data algorithm

    asynchronous feed-forward multi-layer neural network using Matching Pursuit". Neurocomputing. 57C: 125–34. doi:10.1016/j.neucom.2004.01.010.[permanent dead link]

    Matching pursuit

    Matching pursuit

    Matching_pursuit

  • Active learning (machine learning)
  • Machine learning strategy

    "Active learning via query synthesis and nearest neighbour search" (PDF). Neurocomputing. 147: 426–434. doi:10.1016/j.neucom.2014.06.042. S2CID 3027214. Bouneffouf

    Active learning (machine learning)

    Active_learning_(machine_learning)

  • Bernard Widrow
  • American electrical engineer (1929–2025)

    [i]1960 IRE WESCON Convention Record[/i], New York: IRE, pp. 96-104.", Neurocomputing, Volume 1, The MIT Press, pp. 123–134, doi:10.7551/mitpress/4943.003

    Bernard Widrow

    Bernard Widrow

    Bernard_Widrow

  • Jacek M. Zurada
  • Polish engineer

    of the IEEE. He is an associate editor of Neurocomputing, Schedae Informaticae, the International Journal of Applied Mathematics and Computer Science

    Jacek M. Zurada

    Jacek M. Zurada

    Jacek_M._Zurada

  • Multimodal sentiment analysis
  • Technology for sentiment analysis

    and textual clues for sentiment analysis from multimodal content". Neurocomputing. 174: 50–59. doi:10.1016/j.neucom.2015.01.095. S2CID 15287807. Shahla

    Multimodal sentiment analysis

    Multimodal_sentiment_analysis

  • Computational cognition
  • Study of the computational basis of learning and inference

    ISBN 978-0-262-66116-4. Anderson, James; Pellionisz, Andras; Rosenfeld, Edward (1993). Neurocomputing 2: Directions for Research. Cambridge, MA: MIT Press. ISBN 978-0262510752

    Computational cognition

    Computational_cognition

  • Theory of functional connections
  • Mathematical framework

    network method for solving ordinary and partial differential equations". Neurocomputing. 457: 334–356. Bibcode:2021Neurc.457..334S. doi:10.1016/j.neucom.2021

    Theory of functional connections

    Theory_of_functional_connections

  • Particle swarm optimization
  • Iterative simulation method

    economic emission dispatch using particle swarm optimisation variants". Neurocomputing. 270: 188–197. doi:10.1016/j.neucom.2017.03.086. Roy, R., Dehuri, S

    Particle swarm optimization

    Particle swarm optimization

    Particle_swarm_optimization

  • History of artificial neural networks
  • (2021-09-10). "A review on the attention mechanism of deep learning". Neurocomputing. 452: 48–62. doi:10.1016/j.neucom.2021.03.091. ISSN 0925-2312. Xu, Kelvin;

    History of artificial neural networks

    History_of_artificial_neural_networks

  • Convolution
  • Integral expressing the amount of overlap of one function as it is shifted over another

    for Reducing the Hardware Cost of a Convolutional Neural Network". Neurocomputing. 407: 439–453. doi:10.1016/j.neucom.2020.04.018. S2CID 219470398. Convolutional

    Convolution

    Convolution

    Convolution

  • Types of artificial neural networks
  • Classification of Artificial Neural Networks (ANNs)

    (PDF). Neurocomputing. 71 (16–18): 3150–3157. doi:10.1016/j.neucom.2008.04.030. Liou, Cheng-Yuan (2014). "Autoencoder for words". Neurocomputing. 139:

    Types of artificial neural networks

    Types_of_artificial_neural_networks

  • 3D reconstruction
  • Process of capturing the shape and appearance of real objects

    slices automatically landmarked with growing neural models" (PDF). Neurocomputing. 150 (Part A): 16–25. doi:10.1016/j.neucom.2014.03.078. hdl:10045/42544

    3D reconstruction

    3D reconstruction

    3D_reconstruction

  • Residue number system
  • Multi-modular arithmetic

    Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing, 407, 439-453, doi: 10.1016/j.neucom.2020.04.018. Bajard, Jean-Claude;

    Residue number system

    Residue_number_system

  • Neural oscillation
  • Brainwaves, repetitive patterns of neural activity in the central nervous system

    posture: Motor commands as spatially organized oscillation patterns". Neurocomputing. 170: 3–14. doi:10.1016/j.neucom.2015.01.088. hdl:1959.4/unsworks_49693

    Neural oscillation

    Neural oscillation

    Neural_oscillation

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    Learning. Springer. ISBN 0-387-31073-8. Hecht-Nielsen, Robert (1991). Neurocomputing (Reprint. with corrections ed.). Reading (Mass.) Menlo Park (Calif.)

    Perceptron

    Perceptron

  • Ensemble learning
  • Statistics and machine learning technique

    prediction of G-protein-coupled receptor classes in low homology". Neurocomputing. 154: 110–118. doi:10.1016/j.neucom.2014.12.013. Xue, Dan; Zhou, Xiaomin;

    Ensemble learning

    Ensemble_learning

  • Robot fish
  • Robot designed to move like a living fish

    artificial bionic neural network to control fish-robot's locomotion". Neurocomputing. 71 (4–6): 648–54. doi:10.1016/j.neucom.2007.09.007. Wang, Tianmiao;

    Robot fish

    Robot fish

    Robot_fish

  • Homomorphic filtering
  • neuron model: Improved SNR spectrum by low-pass homomorphic filtering,” Neurocomputing, vol. 267, pp. 605–614, Dec. 2017. S. Orcioni, A. Paffi, F. Camera,

    Homomorphic filtering

    Homomorphic_filtering

  • Functional data analysis
  • Branch of statistics mathematics

    method using functional random variables density approximation" (PDF). Neurocomputing. 112: 164–171. doi:10.1016/j.neucom.2012.11.042. S2CID 33591208. Jacques

    Functional data analysis

    Functional_data_analysis

  • Stigmergy
  • Social network mechanism of indirect coordination

    situation awareness via position-based stigmergy and neuro-fuzzy learning, Neurocomputing, Vol. 135 (2014) pp. 86-97 Mario G.C.A. Cimino, Federico Galatolo, Alessandro

    Stigmergy

    Stigmergy

    Stigmergy

  • Image sharing
  • Publishing or transfer of photos online

    context-aware travel recommendation method exploiting geotagged photos. Neurocomputing, 155, 99–107. García-Palomares, J. C., Gutiérrez, J., & Mínguez, C.

    Image sharing

    Image sharing

    Image_sharing

  • Utterance
  • Smallest unit of speech

    linguistic classifiers to recognize emotion in user spoken utterances". Neurocomputing. 326–327: 132–140. doi:10.1016/j.neucom.2017.01.120. hdl:10016/31613

    Utterance

    Utterance

    Utterance

  • Feature selection
  • Process in machine learning and statistics

    (2013). "Divergence-based feature selection for separate classes". Neurocomputing. 101 (4): 32–42. doi:10.1016/j.neucom.2012.06.036. Guyon I.; Weston

    Feature selection

    Feature_selection

  • Morris–Lecar model
  • Biological neuron model

    (January 2006), "Bifurcations in Morris–Lecar neuron model" (PDF), Neurocomputing (in English and Japanese), 69 (4–6): 293–316, doi:10.1016/j.neucom.2005

    Morris–Lecar model

    Morris–Lecar_model

  • Ladan Shams
  • American psychologist

    Christoph (1 June 1999). "Are object shape primitives learnable?". Neurocomputing. 26–27: 855–863. doi:10.1016/S0925-2312(98)00130-1. ISSN 0925-2312.

    Ladan Shams

    Ladan_Shams

  • Binomial coefficient
  • Number of subsets of a given size

    "Nearly homogeneous multi-partitioning with a deterministic generator", Neurocomputing, 72 (7–9): 1379–1389, doi:10.1016/j.neucom.2008.12.024, ISSN 0925-2312

    Binomial coefficient

    Binomial coefficient

    Binomial_coefficient

  • Language acquisition
  • Process in which a first language is being acquired

    model of early word learning: Integrating statistical and social cues". Neurocomputing. 70 (13–15): 2149–2165. doi:10.1016/j.neucom.2006.01.034. Libertus Klaus;

    Language acquisition

    Language_acquisition

  • Non-negative matrix factorization
  • Algorithms for matrix decomposition

    factorization for identifying discriminant representation of image patterns". Neurocomputing. 71 (10–12): 1824–1831. doi:10.1016/j.neucom.2008.01.022. Hoyer, Patrik

    Non-negative matrix factorization

    Non-negative_matrix_factorization

  • Pandemonium architecture
  • Theory in cognitive science

    Paradigm for Learning". Anderson, James A.; Rosenfeld, Edward (1988). Neurocomputing (2nd print ed.). Cambridge, Mass.: MIT Press. ISBN 978-0262010979. Gernsbacher

    Pandemonium architecture

    Pandemonium architecture

    Pandemonium_architecture

  • Raj Mohanty
  • Mohanty’s team has also worked on creating a fundamental building block for neurocomputing using nano- and micro-mechanical resonators. They argued that a network

    Raj Mohanty

    Raj_Mohanty

  • Neuromodulation
  • Regulation of neurons by neurotransmitters

    (June 2007). "Decoding modulation of the neuromuscular transform". Neurocomputing. 70 (10): 1753–1758. doi:10.1016/j.neucom.2006.10.117. PMC 2745187.

    Neuromodulation

    Neuromodulation

    Neuromodulation

  • Eduardo D. Sontag
  • Argentine American mathematician

    Automatic Control, Systems and Control Letters, Dynamics and Control, Neurocomputing, Neural Networks, Neural Computing Surveys, Control-Theory and Advanced

    Eduardo D. Sontag

    Eduardo D. Sontag

    Eduardo_D._Sontag

  • Multiclass classification
  • Problem in machine learning and statistical classification

    novel progressive learning technique for multi-class classification". Neurocomputing. 207: 310–321. arXiv:1609.00085. doi:10.1016/j.neucom.2016.05.006. S2CID 12510650

    Multiclass classification

    Multiclass_classification

  • V. S. Ramachandran
  • Indian-American neuroscientist (born 1951)

    actions: Toward an analysis of the human qualities of interactive robots". Neurocomputing. 70 (13–15): 2194–2203. doi:10.1016/j.neucom.2006.02.024. He has received

    V. S. Ramachandran

    V. S. Ramachandran

    V._S._Ramachandran

  • Octonion
  • Hypercomplex number system

    ; Kong, Y.; Senhadji, L.; Shu, H. (2020), "Deep octonion networks", Neurocomputing, 397: 179–191, doi:10.1016/j.neucom.2020.02.053, S2CID 84186686, hal-02865295

    Octonion

    Octonion

  • Ant colony optimization algorithms
  • Optimization algorithm

    linkage-tree genetic algorithms for the multidimensional knapsack problem". Neurocomputing. 146: 17–29. doi:10.1016/j.neucom.2014.04.069. P.-P. Grassé, La reconstruction

    Ant colony optimization algorithms

    Ant colony optimization algorithms

    Ant_colony_optimization_algorithms

  • Spiking neural network
  • Artificial neural network that mimics neurons

    "Error-backpropagation in temporally encoded networks of spiking neurons". Neurocomputing. 48 (1–4): 17–37. doi:10.1016/S0925-2312(01)00658-0. Pfister JP, Toyoizumi

    Spiking neural network

    Spiking neural network

    Spiking_neural_network

  • Bait ball
  • Defense mechanism used by small schooling fish

    "Neuromuscular control of reactive behaviors for undulatory robots". Neurocomputing. 70 (10–12): 1907–1913. doi:10.1016/j.neucom.2006.10.139. Steiner, L

    Bait ball

    Bait ball

    Bait_ball

  • Failure mode and effects analysis
  • Analysis of potential system failures

    Self-Organizing Map to Failure Modes and Effects Analysis Methodology" (PDF). Neurocomputing. PP: 314–320. doi:10.1016/j.neucom.2016.04.073. "Building a FMEA". Diametric

    Failure mode and effects analysis

    Failure mode and effects analysis

    Failure_mode_and_effects_analysis

  • Astrocyte
  • Type of brain cell

    multi-neuron activity: Empirical study and theoretical implications". Neurocomputing. 174: 822–37. doi:10.1016/j.neucom.2015.10.007. Nossenson N (2013).

    Astrocyte

    Astrocyte

    Astrocyte

  • Matchbox Educable Noughts and Crosses Engine
  • Mechanical computer made of matchboxes

    method for improving training speed in feedforward neural network". Neurocomputing. 30 (1): 219–232. doi:10.1016/S0925-2312(99)00127-7. ISSN 0925-2312

    Matchbox Educable Noughts and Crosses Engine

    Matchbox Educable Noughts and Crosses Engine

    Matchbox_Educable_Noughts_and_Crosses_Engine

  • Kriging
  • Method of interpolation

    (2023). "A mixed-categorical correlation kernel for Gaussian process". Neurocomputing. 550 126472. arXiv:2211.08262. doi:10.1016/j.neucom.2023.126472. Wikimedia

    Kriging

    Kriging

    Kriging

  • Natural computing
  • Methods that imitate, replicate or use natural processes

    linkage-tree genetic algorithms for the multidimensional knapsack problem". Neurocomputing. 146: 17–29. doi:10.1016/j.neucom.2014.04.069. Engelbrecht, A. Fundamentals

    Natural computing

    Natural_computing

  • Erol Gelenbe
  • French-Turkish computer scientist

    and E. Gelenbe. "The Random Neural Network in a neurocomputing application for Web search," Neurocomputing 280: 123–132 (2018) M. G. Siavvas and E. Gelenbe

    Erol Gelenbe

    Erol Gelenbe

    Erol_Gelenbe

  • Feature learning
  • Set of learning techniques in machine learning

    and stability of embeddings: Measurement and inference improvement". Neurocomputing. 553 126517. arXiv:2101.07251. doi:10.1016/j.neucom.2023.126517. ISSN 0925-2312

    Feature learning

    Feature learning

    Feature_learning

  • Sprague effect
  • lesion effects in the cat — A model based on midbrain connectivity". Neurocomputing. 32–33: 793–799. doi:10.1016/S0925-2312(00)00246-0. Wallace, Steven

    Sprague effect

    Sprague_effect

  • Image registration
  • Mapping of data into a single system

    multi-level consistency for non-contrast to contrast CT translation". Neurocomputing. 538 126211. arXiv:2110.06400. doi:10.1016/j.neucom.2023.03.072. S2CID 257952429

    Image registration

    Image registration

    Image_registration

  • Hierarchical temporal memory
  • Biological theory of intelligence

    (2017). "Unsupervised real-time anomaly detection for streaming data". Neurocomputing. 262: 134–147. doi:10.1016/j.neucom.2017.04.070. "Preliminary details

    Hierarchical temporal memory

    Hierarchical_temporal_memory

  • Video super-resolution
  • Generating high-resolution video frames from given low-resolution ones

    "Real-time video super-resolution via motion convolution kernel estimation". Neurocomputing. 367. Elsevier BV: 236–245. doi:10.1016/j.neucom.2019.07.089. ISSN 0925-2312

    Video super-resolution

    Video super-resolution

    Video_super-resolution

  • Biological neuron model
  • Mathematical descriptions of the properties of certain cells in the nervous system

    Neurocomputing. 174: 822–837. doi:10.1016/j.neucom.2015.10.007. Berry MJ, Meister M (March 1998). "Refractoriness and neural precision". The Journal of

    Biological neuron model

    Biological neuron model

    Biological_neuron_model

  • Writeprint
  • (2013-05-02). "Semi-random subspace method for writeprint identification". Neurocomputing. 108: 93–102. doi:10.1016/j.neucom.2012.11.015. ISSN 0925-2312. Iqbal

    Writeprint

    Writeprint

    Writeprint

  • Geometry
  • Branch of mathematics

    Geometric Algebra Applications Vol. I: Computer Vision, Graphics and Neurocomputing. Springer. p. 4. ISBN 978-3-319-74830-6. Archived from the original

    Geometry

    Geometry

  • Compartmental neuron models
  • (2002). A finite state automaton model for multi-neuron simulations. Neurocomputing, 44, 1141–1148. Gold, C., Henze, D. A., & Koch, C. (2007). Using extracellular

    Compartmental neuron models

    Compartmental_neuron_models

  • Juyang Weng
  • Chinese-American computer engineer and neuroscientist

    Weng, Juyang (August 2007). "On developmental mental architectures". Neurocomputing. 70 (13–15): 2303–2323. doi:10.1016/j.neucom.2006.07.017.[non-primary

    Juyang Weng

    Juyang Weng

    Juyang_Weng

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  • Stanley
  • Surname or Lastname

    English

    Stanley

    English : habitational name from any of the various places, for example in Derbyshire, County Durham, Gloucestershire, Staffordshire, Wiltshire, and West Yorkshire, so named from Old English stān ‘stone’ + lēah ‘wood’, ‘clearing’.Americanized form of any of various like-sounding names in other European languages, for example Polish Stanislawski and Greek Anastasiou.The explorer and journalist Sir Henry Morton Stanley (1841–1904) was born John Rowlands in Denbigh, Wales, but traveled as a cabin boy in 1858 from Liverpool, England, to New Orleans, LA, where he was adopted by a merchant surnamed Stanley. From the late 1860s he worked as a correspondent for the New York Herald, and traveled extensively in Africa.

    Stanley

  • Willis
  • Surname or Lastname

    English

    Willis

    English : patronymic from the personal name Will.George Willis is recorded in Boston, MA, in the 1630s. Nathianel Willis, born in Boston in 1780, and his son Nathaniel Parker Willis, born in Portland, ME, in 1806, were both prominent journalists.

    Willis

  • Winthrop
  • Surname or Lastname

    English

    Winthrop

    English : habitational name from places in Lincolnshire and Nottinghamshire called Winthorpe. The former is named with the Old English personal name or byname Wine, meaning ‘friend’, + Old Norse þorp ‘settlement’. In the latter the first element is a contracted form of the Old English personal name Wigmund, composed of the elements wīg ‘war’ + mund ‘protection’, or the Old Norse equivalent, Vígmundr.John Winthrop (1588–1649) was the first governor of the Massachusetts Bay Colony. He kept a detailed journal, an invaluable source for historians. He was born into a family of Suffolk, England, gentry whose fortunes were founded by his grandfather Adam Winthrop (d. 1562) of Lavenham. In 1544 the latter acquired a 500-acre estate that had been part of the monastery of Bury St. Edmunds. John Winthrop emigrated from Groton, Suffolk, England, to Salem, MA, in 1630 because of Charles I’s anti-Puritan policies. By the time of his death he had had four wives and 16 children, the most notable of whom was his son John (1606–76), a scientist and governor of CT. His descendants were prominent in politics and science, including John Winthrop (1714–79), an astronomer, and Robert Winthrop (1809–94), a senator and speaker of the House of Representatives.

    Winthrop

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Online names & meanings

  • Bratindra | ப்ரதிந்த்ர
  • Boy/Male

    Tamil

    Bratindra | ப்ரதிந்த்ர

    Devoted to right deeds

  • Nikhileshwara
  • Boy/Male

    Indian, Sanskrit

    Nikhileshwara

    Sovereign Lord of All

  • Bhavin
  • Boy/Male

    Hindu

    Bhavin

    Living, Existing, Winner

  • Makhtoonah
  • Girl/Female

    Arabic, Muslim, Sindhi

    Makhtoonah

    Singer; Beautiful Lady

  • Jerrel
  • Boy/Male

    English

    Jerrel

    Strong; open-minded. Blend of Jerold and Darell.

  • Qamar
  • Girl/Female

    Afghan, Arabic, Muslim

    Qamar

    Moon

  • Sukhrajpreet
  • Boy/Male

    Sikh

    Sukhrajpreet

    Kigh of peace and Love

  • Cheri
  • Girl/Female

    American, Christian, Danish, French, Gujarati, Indian

    Cheri

    Beloved One; Dear; Variant of Cherie Dear One; Darling

  • Sharmika
  • Girl/Female

    Indian

    Sharmika

    Beauty

  • Mishall |
  • Girl/Female

    Muslim

    Mishall |

    A light, Beautiful, Pretty

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Other words and meanings similar to

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  • Sensational
  • a.

    Suited or intended to excite temporarily great interest or emotion; melodramatic; emotional; as, sensational plays or novels; sensational preaching; sensational journalism; a sensational report.

  • Journalist
  • n.

    One who keeps a journal or diary.

  • Journalistic
  • a.

    Pertaining to journals or to journalists; contained in, or characteristic of, the public journals; as journalistic literature or enterprise.

  • Wastebook
  • n.

    A book in which rough entries of transactions are made, previous to their being carried into the journal.

  • Journalize
  • v. i.

    to conduct or contribute to a public journal; to follow the profession of a journalist.

  • Wrist
  • n.

    A stud or pin which forms a journal; -- also called wrist pin.

  • Journalism
  • n.

    The periodical collection and publication of current news; the business of managing, editing, or writing for, journals or newspapers; as, political journalism.

  • Stud
  • n.

    A short rod or pin, fixed in and projecting from something, and sometimes forming a journal.

  • Noctuary
  • n.

    A record of what passes in the night; a nightly journal; -- distinguished from diary.

  • Journalize
  • v. t.

    To enter or record in a journal or diary.

  • Toe
  • n.

    The journal, or pivot, at the lower end of a revolving shaft or spindle, which rests in a step.

  • Shaft
  • n.

    A solid or hollow cylinder or bar, having one or more journals on which it rests and revolves, and intended to carry one or more wheels or other revolving parts and to transmit power or motion; as, the shaft of a steam engine.

  • Journalized
  • imp. & p. p.

    of Journalize

  • Journalizing
  • p. pr. & vb. n.

    of Journalize

  • Housing
  • n.

    A frame or support for holding something in place, as journal boxes, etc.

  • Memoirs
  • n.

    An account of something deemed noteworthy; an essay; a record of investigations of any subject; the journals and proceedings of a society.

  • Subeditor
  • n.

    An assistant editor, as of a periodical or journal.

  • Journalism
  • n.

    The keeping of a journal or diary.

  • Journalist
  • n.

    The conductor of a public journal, or one whose business it to write for a public journal; an editorial or other professional writer for a periodical.