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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| Published in | Computer (Long Beach, Calif.) Vol. 25; no. 5; pp. 76 - 79 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.05.1992
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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.< > |
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| AbstractList | 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 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.< > |
| Author | Pao, Y.-H. Takefuji, Y. |
| Author_xml | – sequence: 1 givenname: Y.-H. surname: Pao fullname: Pao, Y.-H. organization: Case Western Reserve Univ., Cleveland, OH, USA – sequence: 2 givenname: Y. surname: Takefuji fullname: Takefuji, Y. organization: Case Western Reserve Univ., Cleveland, OH, USA |
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| CODEN | CPTRB4 |
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| SubjectTerms | Clustering algorithms Computer architecture Computer errors Computer networks Equations Gaussian approximation Gaussian processes Sampling methods Supervised learning |
| Title | Functional-link net computing: theory, system architecture, and functionalities |
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