神经网络拓扑演化系统的中断分析

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1199008

J. Dávila

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引用次数: 0

摘要

本文提出了一种分析遗传算法在神经网络演化中的有效性的方法。分析是基于(表型)神经网络正在进化的模式，而不是在基因型水平上分析模式中断的传统方法。对这两种分析方法进行了比较。实证数据提出，表明在表型水平的分析更大的有效性。

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Disruption analysis for neural network topology evolution systems

This paper presents a method for analyzing GA effectiveness for the evolution of neural networks. The analysis is based on the schemata of the (phenotype) neural network being evolved, as opposed to the traditional method of analyzing schemata disruptions at the genotype level. Comparisons between the two types of analysis are made. Empirical data is presented that indicates the greater validity of the analysis at the phenotype level.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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