The hidden layer design of the MVQ neural network

被引：0

作者：

Abouali, AH ^{[1
]}

Porter, WA ^{[1
]}

机构：

[1] Egyptian Res Ctr, Cairo 11435, Egypt

来源：

THIRTIETH SOUTHEASTERN SYMPOSIUM ON SYSTEM THEORY (SSST) | 1998年

关键词：

D O I：

10.1109/SSST.1998.660103

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this study, we introduce the first part of neural network classifiers design methodology. The design has a lot of the desired features. The design is based on a preprocessing stage of multiple class vector quantization, MVQ, algorithm. The algorithm extracts the information from the training set. The outcome of this stage fully defines the first hidden layer of the network. The methodology not only has better performance but also provides insights to why and how the neural network works.

引用

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页码：393 / 396

页数：4

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