Implementation of Kolmogorov learning algorithm for feedforward neural networks

被引：0

作者：

Neruda, R ^{[1
]}

Stedry, A ^{[1
]}

Drkosová, J ^{[1
]}

机构：

[1] Acad Sci Czech Republ, Inst Comp Sci, Prague 18207, Czech Republic

来源：

COMPUTATIONAL SCIENCE -- ICCS 2001, PROCEEDINGS PT 2 | 2001年 / 2074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：

We present a learning algorithm for feedforwaxd neural networks that is based on Kolmogorov theorem concerning composition of n-dimensional continuous function from one-dimensional continuous functions. A thorough analysis of the algorithm time complexity is presented together with serial and parallel implementation examples.

引用

页码：986 / 995

页数：10

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