Conference Proceeding

GANNET: Design of a neural net for face recognition by Genetic Algorithm

Details

Citation

Hancock PJB & Smith L (1991) GANNET: Design of a neural net for face recognition by Genetic Algorithm. In: Schwefel H & Manner R (eds.) Parallel Problem Solving from Nature: 1st Workshop, PPSN I Dortmund, FRG, October 1–3, 1990 Proceedings. Lecture Notes in Computer Science, 496. 1st Workshop, PPSN I Dortmund, FRG, Dortmund, Germany, 01.10.1990-03.10.1990. Berlin Heidelberg: Springer, pp. 292-296. http://link.springer.com/chapter/10.1007/BFb0029766#; https://doi.org/10.1007/BFb0029766

Abstract
A system that uses a Genetic Algorithm to specify the structure of a back-propagation type neural net is described. The GA can achieve significant improvements in performance over both random and fully connected nets. The efficacy of the evaluation procedure is demonstrated by showing that the system is able to eliminate a small penalty flag despite the high noise levels.

StatusPublished
Title of seriesLecture Notes in Computer Science
Number in series496
Publication date31/12/1991
Publication date online31/10/1990
PublisherSpringer
Publisher URLhttp://link.springer.com/chapter/10.1007/BFb0029766#
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-540-54148-6
Conference1st Workshop, PPSN I Dortmund, FRG
Conference locationDortmund, Germany
Dates

People (2)

People

Professor Peter Hancock

Professor Peter Hancock

Professor, Psychology

Professor Leslie Smith

Professor Leslie Smith

Emeritus Professor, Computing Science