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智能控制工具:模糊控制器、神经网络和遗传算法。

Tools for intelligent control: fuzzy controllers, neural networks and genetic algorithms.

作者信息

Jamshidi Mo

机构信息

Autonomous Control Engineering Center and Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87131, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2003 Aug 15;361(1809):1781-808. doi: 10.1098/rsta.2003.1225.

Abstract

The goal of this expository paper is to bring forth the basic current elements of soft computing (fuzzy logic, neural networks, genetic algorithms and genetic programming) and the current applications in intelligent control. Fuzzy sets and fuzzy logic and their applications to control systems have been documented. Other elements of soft computing, such as neural networks and genetic algorithms, are also treated for the novice reader. Each topic will have a number of relevant references of as many key contributors as possible.

摘要

这篇说明文的目的是介绍软计算(模糊逻辑、神经网络、遗传算法和遗传编程)的基本当前要素以及在智能控制中的当前应用。模糊集和模糊逻辑及其在控制系统中的应用已有文献记载。对于新手读者,也介绍了软计算的其他要素,如神经网络和遗传算法。每个主题都将提供尽可能多的关键贡献者的相关参考文献。

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