NEURAL NETWORKS AND SIMULATION - MODELING FOR APPLICATIONS

被引：19

作者：

PADGETT, ML

ROPPEL, TA

机构：

[1] Electrical Engineering Dept., Auburn University, Auburn

来源：

SIMULATION | 1992年 / 58卷 / 05期

关键词：

NEURAL NETWORKS; ROBUST SYSTEM DESIGN; CONTINUOUS AND DISCRETE SIMULATION; PARALLEL AND DISTRIBUTED PROCESSING;

D O I：

10.1177/003754979205800502

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Artificial neural networks simulate biological processes in an intriguing manner. Ideas gleaned from the study of neurophysiology and animal behavior have become realizable in recent years. The advent of computers capable of rapidly executing massively parallel and distributed processes has allowed ideas from diverse fields to be merged and tested. The resulting neural networks, simulated in software and/or hardware, provide an adaptable, robust modeling tool useful to simulationists in all disciplines.

引用

页码：295 / 305

页数：11

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