A Feedforward Network of Learning Automata for Pattern Classification

Thathachar, MAL and Phansalkar, VV (1991) A Feedforward Network of Learning Automata for Pattern Classification. In: 1991 IEEE International Joint Conference on Neural Networks, 18-21 November, Singapore, Vol.3, 2265-2270.

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Abstract

A model made of units of teams of learning automata is developed for the three layer pattern classifier. The algorithm is approximated by an ODE, using weak convergence methods. The pattern recognition problem is posed as a constrained maximization problem. It is shown that the zeros of the ODE correspond to points satisfying first order necessary conditions of the maximization problem. Partial results are obtained in showing that the ODE ,and hence the algorithm, converges to the local maxima of the maximization problem.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	29 May 2006
Last Modified:	19 Sep 2010 04:27
URI:	http://eprints.iisc.ac.in/id/eprint/7024

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