A self-organization algorithm of neural networks

被引：0

作者：

Yamawaki, S ^{[1
]}

Imao, S ^{[1
]}

机构：

[1] Fac Sci & Technol, Dept Elect Engn, Higashiosaka, Osaka 5778502, Japan

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2 | 2001年 / 69卷

关键词：

forgetting; self-organization; recurrent neural network; least-squares method; back-propagation method; identification;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The description ability of neural networks is applied to solve identification problems of non-linear systems. However, the description ability of neural networks depends greatly on the number of neurons and other elements. In the present study, we propose a self-organization method for neural networks that employs a forgetting manipulation.

引用

页码：1435 / 1438

页数：4

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