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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Detalles Bibliográficos
Publicado en:	Daedalus: Journal of the American Academy of Arts & Sciences Vol. 117; no. 1; pp. 85 - 122
Autores principales:	Cowan, Jack D., Sharp, David H.
Formato:	Artículo
Publicado:	MIT Press Winter88
Materias:	Artificial neural networks Artificial intelligence Pattern perception Perceptrons Pattern recognition systems
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.