INTRODUCTION TO COMPUTATION AND LEARNING IN ARTIFICIAL NEURAL NETWORKS

被引：74

作者：

MASSON, E

WANG, YJ

机构：

[1] DIKU, Department of Computer Science, University of Copenhagen, DK-2100 Copenhagen Ø

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 1990年 / 47卷 / 01期

关键词：

adaptive processes; Artificial neural networks; learning; optimization;

D O I：

10.1016/0377-2217(90)90085-P

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

A short historical overview of the development of artificial neural networks is given and some of the concepts and terms used within the field are introduced. We then describe 5 network models: The perceptron, the Hopfield network, the Hopfield-Tank net, the Boltzmann machine and the Kohonen self-organizing network. The description of each model consists of topology, dynamics of computation and learning, and is rounded up with an application example. © 1990.

引用

页码：1 / 28

页数：28

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