Comparative Analysis of the Classical and Nonclassical Artificial Neural Networks

被引：0

作者：

Lisitsa, Daria ^{[1
]}

Zhilenkov, Anton A. ^{[1
]}

机构：

[1] St Petersburg Natl Res Univ Informat Technol Mech, Dept Control Syst & Informat, Fac Control Syst & Robot, St Petersburg, Russia

来源：

PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS) | 2017年

关键词：

Neural networks; comparison analysis; spiking neutral networks; artificial neutral networks; NEURONS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A lot of artifiicial neural networks were proposed by scientists over the last time. Each of them can cope with the tasks of limited difficulty level, determined by their properties and capabilities. The aim of this paper is to outline difference of them and to define their positive and negative sites in different tasks of identification and control.

引用

页码：922 / 925

页数：4

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