Title :
Functional-link net computing: theory, system architecture, and functionalities
Author :
Pao, Yoh-Han ; Takefuji, Yoshiyasu
Author_Institution :
Case Western Reserve Univ., Cleveland, OH, USA
fDate :
5/1/1992 12:00:00 AM
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.<>
Keywords :
learning systems; neural nets; optimisation; associative recall; cluster analysis; functional-link net computing; general-purpose artificial neural network computer; network computational approach; supervised learning; system architecture; Clustering algorithms; Computer architecture; Computer errors; Computer networks; Equations; Gaussian approximation; Gaussian processes; Sampling methods; Supervised learning;
