Combination of Genetic Algorithms and Artificial Neural Networks:Review and Prospect

梁化楼; 戴贵亮

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Combination of Genetic Algorithms and Artificial Neural Networks:Review and Prospect

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- Combination of Genetic Algorithms and Artificial Neural Networks:Review and Prospect
- Acta Electronica Sinica Issue 10, (1995)
- 作者机构：
  
  中科院高能物理研究所计算中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1995
- 稿件说明：
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[1]梁化楼,戴贵亮.人工神经网络与遗传算法的结合：进展及展望[J].电子学报,1995(10):194-200.

梁化楼, 戴贵亮. Combination of Genetic Algorithms and Artificial Neural Networks:Review and Prospect[J]. Acta Electronica Sinica, 1995, (10).
[1]梁化楼,戴贵亮.人工神经网络与遗传算法的结合：进展及展望[J].电子学报,1995(10):194-200. DOI：

梁化楼, 戴贵亮. Combination of Genetic Algorithms and Artificial Neural Networks:Review and Prospect[J]. Acta Electronica Sinica, 1995, (10). DOI：

摘要

近来，人工神经网络（ＡＮＮ）与遗传算法（ＧＡ）结合的研究引起了人们的极大注意。本文综述了这一领域的发展现状，并试图从两者的结合上分为辅助式及合作式两种结合方式，对于辅助式结合，ＧＡ不仅能为ＡＮＮ选择训练数据，也可用来选择网络的学习参数或学习规则，而且可利用ＧＡ解释或分析ＡＮＮ的结果；对于合作式结合，主要论述了ＧＡ作为ＡＮＮ的一种权重训练方法的不足和长处，同时评述了它与ＢＰ训练算法的优缺点，最后着重综述了利用ＧＡ自动优选ＡＮＮ的各种方法。

Abstract

Research involving some sort of combination of Genetic Algorithms（GAs） and Artificial Neural Networks（ANNs） has attracted a lot of attention recently. Some current work combining GAs and ANNs can be divided into two broad categories:supportive combinations

which typically involve using a genetic algorithm to select training data and to interpret the output behavior of neural networks; collaborative combinatoins

which typically involve using the GA to determine the neural network weights or the network topology or both. This article presents a review of the state of the art and research prospects in this area.

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