Phenomena and Processes [G] » Mathematical Concepts [G17] » Neural Networks, Computer
Information Science [L] » Information Science [L01] » Computing Methodologies » Algorithms » Artificial Intelligence » Neural Networks, Computer
Description
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. MeSH
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