loading...| Preferred Name |
Neural Networks, Computer |
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| Synonyms |
Neural Network, Computer Networks, Computational Neural |
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| Definitions |
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. |
|
| ID |
http://purl.bioontology.org/ontology/MESH/D016571 |
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| altLabel |
Neural Network, Computer Network, Neural (Computer) Networks, Neural (Computer) Perceptrons Neural Networks (Computer) Perceptron Connectionist Models Model, Neural Network Computational Neural Networks Network, Computer Neural Neural Network Model Neural Network (Computer) Networks, Computer Neural Connectionist Model Models, Neural Network Neural Network, Computational Computer Neural Network Computational Neural Network Network Model, Neural Computer Neural Networks Network, Computational Neural Neural Networks, Computational Neural Network Models Network Models, Neural Models, Connectionist Model, Connectionist Networks, Computational Neural |
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| AN |
do not confuse with NEURAL NETWORKS (ANATOMIC) see NERVE NET |
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| cui |
C0870951 |
|
| DC |
1 |
|
| definition |
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. |
|
| DX |
19920101 |
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| HN |
2020 (1992); was NEURAL NETWORKS (COMPUTER) 1992-2019 |
|
| Machine permutation |
2020; was NEURAL NETWORKS (COMPUTER) 1992-2019 |
|
| MDA |
19910125 |
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| MMR |
20190118 |
|
| MN |
G17.485 L01.224.050.375.605 |
|
| notation |
D016571 |
|
| prefLabel |
Neural Networks, Computer |
|
| TERMUI |
T049572 T000950585 T049574 T049573 T000950586 T049576 T049575 |
|
| TH |
NLM (2020) NLM (1992) |
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| tui |
T170 |
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| subClassOf |