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Descriptor in English: Neural Networks, Computer
Descriptor in Spanish: Redes Neurales de la Computación
Descriptor in Portuguese: Redes Neurais de Computação
Descriptor in French: Without translation
Entry term(s): Computational Neural Network
Computational Neural Networks
Computer Neural Network
Computer Neural Networks
Connectionist Model
Connectionist Models
Model, Connectionist
Model, Neural Network
Models, Connectionist
Models, Neural Network
Network Model, Neural
Network Models, Neural
Network, Computational Neural
Network, Computer Neural
Network, Neural (Computer)
Networks, Computational Neural
Networks, Computer Neural
Networks, Neural (Computer)
Neural Network (Computer)
Neural Network Model
Neural Network Models
Neural Network, Computational
Neural Network, Computer
Neural Networks (Computer)
Neural Networks, Computational
Perceptron
Perceptrons
Tree number(s): G17.485
L01.224.050.375.605
Scope note: A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Annotation: do not confuse with NEURAL NETWORKS (ANATOMIC) see NERVE NET
History Note: 2020 (1992); was NEURAL NETWORKS (COMPUTER) 1992-2019
DeCS UI: 29935
Descriptor UI: D016571
Date Established: 1992/01/01
Date of Entry: 1991/01/25
Revision Date: 2019/01/18
Neural Networks, Computer - Preferred
Concept UI M0025278
Scope note A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Preferred term Neural Networks, Computer
Entry term(s) Computational Neural Network
Computational Neural Networks
Computer Neural Network
Computer Neural Networks
Connectionist Model
Connectionist Models
Model, Connectionist
Model, Neural Network
Models, Connectionist
Models, Neural Network
Network Model, Neural
Network Models, Neural
Network, Computational Neural
Network, Computer Neural
Network, Neural (Computer)
Networks, Computational Neural
Networks, Computer Neural
Networks, Neural (Computer)
Neural Network (Computer)
Neural Network Model
Neural Network Models
Neural Network, Computational
Neural Network, Computer
Neural Networks (Computer)
Neural Networks, Computational
Perceptron
Perceptrons



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