Genetic Algorithms and its use with back-propagation network
Neural and Evolutionary Computing
2014-01-22 v1
Abstract
Genetic algorithms are considered as one of the most efficient search techniques. Although they do not offer an optimal solution, their ability to reach a suitable solution in considerably short time gives them their respectable role in many AI techniques. This work introduces genetic algorithms and describes their characteristics. Then a novel method using genetic algorithm in best training set generation and selection for a back-propagation network is proposed. This work also offers a new extension to the original genetic algorithms
Cite
@article{arxiv.1401.5246,
title = {Genetic Algorithms and its use with back-propagation network},
author = {Ayman M. Bahaa-Eldin and A. M. A. Wahdan and H. M. K. Mahdi},
journal= {arXiv preprint arXiv:1401.5246},
year = {2014}
}