INTRODUCTION TO ARTIFICIAL NEURAL SYSTEMS FOR PATTERN-RECOGNITION

被引：32

作者：

BURKE, LI

机构：

[1] Department of Industrial Engineering, Lehigh University, Bethlehem

来源：

COMPUTERS & OPERATIONS RESEARCH | 1991年 / 18卷 / 02期

关键词：

D O I：

10.1016/0305-0548(91)90091-5

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The artificial intelligence community has seen a recent resurgence in the area of neural network study. Inspired by the workings of the brain and nervous system, neural networks have solved some persistent problems in vision and speech processing. However, the new systems may offer an alternative approach to decision-making via high level pattern recognition. This paper will describe the distinguishing features of neurally inspired systems, and present popular systems in a discrete-time, algorithmic framework. Examples of applications to decision problems will appear, and guidelines for their use in operations research will be established.

引用

页码：211 / 220

页数：10

共 33 条

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