INTRODUCTION TO BACKPROPAGATION NEURAL NETWORK COMPUTATION

被引：166

作者：

ERB, RJ

机构：

[1] Clinical Research Foundation—America, Lenexa, Kansas, 66219

来源：

PHARMACEUTICAL RESEARCH | 1993年 / 10卷 / 02期

关键词：

NEURAL NETWORK; NEUROCOMPUTING BACKPROPAGATION; MODELING; PATTERN RECOGNITION; PHARMACODYNAMICS; PHARMACOKINETICS; CLASSIFICATION;

D O I：

10.1023/A:1018966222807

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Neurocomputing is computer modeling based, in part, upon simulation of the structure and function of the brain. Neural networks excel in pattern recognition, that is, the ability to recognize a set of previously learned data. Although their use is rapidly growing in engineering, they are new to the pharmaceutical community. This article introduces neurocomputing using the backpropagation network (BPN).

引用

页码：165 / 170

页数：6

共 19 条

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