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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.


This graph shows the total number of publications written about "Neural Networks (Computer)" by people in Harvard Catalyst Profiles by year, and whether "Neural Networks (Computer)" was a major or minor topic of these publication.
Bar chart showing 254 publications over 28 distinct years, with a maximum of 27 publications in 2017
To see the data from this visualization as text, click here.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.