The local true weight decay recursive least square algorithm

被引：0

作者：

Leung, Chi Sing ^{[1
]}

Wong, Kwok-Wo ^{[1
]}

Xu, Yong ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

NEURAL INFORMATION PROCESSING, PART I | 2008年 / 4984卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The true weight decay recursive least square (TWDRLS) algorithm is an efficient fast online training algorithm for feedforward neural networks. However, its computational and space complexities are very large. This paper first presents a set of more compact TWDRLS equations. Afterwards, we propose a local version of TWDRLS to reduce the computational and space complexities. The effectiveness of this local version is demonstrated by simulations. Our analysis shows that the computational and space complexities of the local TWDRLS are much smaller than those of the global TWDRLS.

引用

页码：456 / 465

页数：10

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