USING GA FOR EVOLVING WEIGHTS IN NEURAL NETWORKS

USING GA FOR EVOLVING WEIGHTS IN NEURAL NETWORKS

This article aims at studying the behavior of different types of crossover operators in the performance of Genetic Algorithm. We have also studied the effects of the parameters and variables (crossover probability (Pc), mutation probability (Pm), population size (popsize) and number of generation (N...

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Bibliographic Details
Main Authors: Wafaa Mustafa HAMEED, Asan Baker KANBAR
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2019-09-01
Series:Applied Computer Science
Subjects:
genetic algorithm
neural network
crossover
mutation
Online Access:http://www.acs.pollub.pl/pdf/v15n3/2.pdf

Internet

http://www.acs.pollub.pl/pdf/v15n3/2.pdf

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