Functional-link net computing: theory, system architecture, and functionalities

A system architecture and a network computational approach compatible with the goal of devising a general-purpose artificial neural network computer are described. The functionalities of supervised learning and optimization are illustrated, and cluster analysis and associative recall are briefly men...

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 25; no. 5; pp. 76 - 79
Main Authors Pao, Y.-H., Takefuji, Y.
Format Journal Article
LanguageEnglish
Published IEEE 01.05.1992
Subjects
Clustering algorithms
Computer architecture
Computer errors
Computer networks
Equations
Gaussian approximation
Gaussian processes
Sampling methods
Supervised learning
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Summary:A system architecture and a network computational approach compatible with the goal of devising a general-purpose artificial neural network computer are described. The functionalities of supervised learning and optimization are illustrated, and cluster analysis and associative recall are briefly mentioned.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9162
1558-0814
DOI:10.1109/2.144401