University of Hertfordshire

Staged training of Neocognitron by evolutionary algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

View graph of relations
Original languageEnglish
Title of host publicationIn: Procs of the 1999 Congress on Evolutionary Computation (CEC'99) Vol. 3
PublisherIEEE
Pages1965-1972
ISBN (Print)0780355369
DOIs
Publication statusPublished - 1999

Abstract

The Neocognitron, inspired by the mammalian visual system, is a complex neural network with numerous parameters and weights which should be trained in order to utilise it for pattern recognition. However, it is not easy to optimise these parameters and weights by gradient decent algorithms. In this paper, we present a staged training approach using evolutionary algorithms. The experiments demonstrate that evolutionary algorithms can successfully train the Neocognitron to perform image recognition on real world problems.

ID: 101323