Neural Nets and Artificial Intelligence.

Discusses neural nets in relation to contemporary studies of artificial intelligence. Reliable computing with unreliable neurons; Synaptic modification during learning; Background on the problem of pattern classification; Limitations of elementary perceptrons; Use of neural nets for prediction and s...

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Bibliographic Details
Published in:	Daedalus: Journal of the American Academy of Arts & Sciences Vol. 117; no. 1; pp. 85 - 122
Main Authors:	Cowan, Jack D., Sharp, David H.
Format:	Article
Published:	MIT Press Winter88
Subjects:	Artificial neural networks Artificial intelligence Pattern perception Perceptrons Pattern recognition systems
Online Access:	View this record in EBSCOhost

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Summary:	Discusses neural nets in relation to contemporary studies of artificial intelligence. Reliable computing with unreliable neurons; Synaptic modification during learning; Background on the problem of pattern classification; Limitations of elementary perceptrons; Use of neural nets for prediction and simulation.