Structured learning in recurrent neural network using genetic algorithm with internal copy operator

被引：7

作者：

Kumagai, T

Wada, M

Mikami, S

Hashimoto, R

机构：

来源：

PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97) | 1997年

关键词：

D O I：

10.1109/ICEC.1997.592395

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We compose a genetic algorithm that uses an internal copy operator for recurrent neural network learning. The internal copy operator copies one part of a gene to another part of the same gene. We show that the proposed algorithm accelerates learning. We also show that the internal copy operator organizes a structure in the network. The organized structure improves learning ability and makes possible to acquire a set of limit cycles easily.

引用

页码：651 / 656

页数：6

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