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Neural Networks, Computer MeSH Descriptor Data 2025
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.
Entry Term(s)
Computational Neural Networks
Connectionist Models
Models, Neural Network
Neural Network Models
Neural Networks (Computer)
Perceptrons
Previous Indexing
Artificial Intelligence (1987-1991)
Computer Simulation (1987-1991)
Image Processing, Computer-Assisted (1990-1991)
Public MeSH Note
2020; was NEURAL NETWORKS (COMPUTER) 1992-2019
History Note
2020 (1992); was NEURAL NETWORKS (COMPUTER) 1992-2019
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.