Accession Number : ADA254689
Title : Adaptive Neural Network Models for Intelligent Computations.
Descriptive Note : Final rept. 1 Sep 89-31 Dec 91,
Corporate Author : MARYLAND UNIV COLLEGE PARK LAB FOR PLASMA RESEARCH
Personal Author(s) : Chen, H. H. ; Lee, Y. C. ; Sun, G. Z.
Report Date : 31 DEC 1991
Pagination or Media Count : 9
Abstract : By looking closely at the dynamics of learning, it was discovered that for different input the states of network tended to cluster around three values plus the initial state. These four states can be considered as possible states of an actual finite state machine and the movement between these states as a function of input can be interpreted as the state transition of a state machine. This four state machine constructed is a perfect state machine that recognize the dual parity grammar. It recognizes dual parity strings with arbitrary length. This rule extraction generalization power is qualitatively different from that of the 'data interpolation' paradigm which is usually true for a feedforward neural net.
Descriptors : *NETWORKS, *ADAPTIVE CONTROL SYSTEMS, DYNAMICS, EXTRACTION, FUNCTIONS, GRAMMARS, INPUT, LEARNING, LENGTH, MACHINES, NETS, NEURAL NETS, PARITY, POWER, TRANSITIONS, VALUE, COMPUTATIONS, ARTIFICIAL INTELLIGENCE.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE