Neural Networks (Computer)
"Neural Networks (Computer)" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
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.
| Descriptor ID |
D016571
|
| MeSH Number(s) |
G17.485 L01.224.065.605 L01.725.500
|
| Concept/Terms |
Neural Networks (Computer)- Neural Networks (Computer)
- Network, Neural (Computer)
- Networks, Neural (Computer)
- Neural Network (Computer)
- Models, Neural Network
- Model, Neural Network
- Network Model, Neural
- Network Models, Neural
- Neural Network Model
- Perceptrons
- Perceptron
- Connectionist Models
- Connectionist Model
- Model, Connectionist
- Models, Connectionist
- Neural Network Models
|
Below are MeSH descriptors whose meaning is more general than "Neural Networks (Computer)".
Below are MeSH descriptors whose meaning is more specific than "Neural Networks (Computer)".
This graph shows the total number of publications written about "Neural Networks (Computer)" by people in UAMS Profiles by year, and whether "Neural Networks (Computer)" was a major or minor topic of these publications.
![]()
To see the data from this visualization as text,
click here.
Below are the most recent publications written about "Neural Networks (Computer)" by people in Profiles over the past ten years.