REGRESSION-ANALYSIS FOR QSAR USING NEURAL NETWORKS

被引：29

作者：

LIVINGSTONE, DJ ^{[1
]}

SALT, DW ^{[1
]}

机构：

[1] PORTSMOUTH POLYTECH,SCH MATH STUDIES,PORTSMOUTH PO1 2EG,HANTS,ENGLAND

来源：

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS | 1992年 / 2卷 / 03期

关键词：

D O I：

10.1016/S0960-894X(01)81067-2

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

Neural networks have been used to analyse QSAR data giving promising results. However, there is the danger of chance "correlations" and "over-fitting". We have examined a reported analysis and shown that the size of the hidden layer can be reduced giving more efficient training while maintaining predictive performance.

引用

页码：213 / 218

页数：6

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