A Novel Hybrid Method Based on Genetic Algorithms and Neural Networks

2011 International Conference on Network Computing and Information Security Pub Date : 2011-05-14 DOI:10.1109/NCIS.2011.102

Zhibin Zhu, Anwa Zhou, De He, Shuo Wang

引用次数: 0

Abstract

In this paper, according to the characters of neural networks and genetic algorithms, we present a new hybrid intelligence optimization algorithm. The idea of genetic algorithms is embedded on the weight adjustment of neural networks. The numerical results show that the method is efficient.

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一种基于遗传算法和神经网络的新型混合方法

本文根据神经网络和遗传算法的特点，提出了一种新的混合智能优化算法。将遗传算法的思想嵌入到神经网络的权值调整中。数值结果表明，该方法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 International Conference on Network Computing and Information Security

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