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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

期数:

2012年04期

页码:

97-100

栏目:

智能、算法、系统工程

出版日期:

1900-01-01

文章信息/Info

Title:

Research on Fusion Technology of Soft Computing

文章编号:

1673-629X（2012）04-0097-04

作者:

王大将¹ 王敏²

[1]南京陆军指挥学院作战实验中心[2]南京陆军指挥学院图书馆

Author(s):

WANG Da-jiang; WANG Min

[1]Operations Research Center,Nanjing Army Command College[2]Library of Nanjing Army Command College

关键词:

软计算; 融合技术; 粗糙集; 神经网络; 模糊逻辑; 遗传算法; 人工免疫算法

Keywords:

soft computing;  fusion techniques;  rough set;  neural network;  fuzzy logic;  genetic algorithm;  artificial immune algorithm

分类号:

TP18

文献标志码:

A

摘要:

软计算是求近似而非精确解的有效计算方法,已经在众多领域得到应用,取得了很好的效果。然而,每个软计算方法具有鲜明的特色和迥异的侧重点,在实际应用中存在一些不足,将软计算方法进行融合,优势互补,是促进软计算发展的关键技术之一。文中简要介绍了软计算发展概况,结合粗糙集、神经网络、模糊逻辑、遗传算法、人工免疫算法等软计算方法,详细分析了软计算融合技术的现状及分类,指出了该领域面临的缺乏理论基础、设计原则、定量评价等主要问题及其发展趋势

Abstract:

Soft computing refers to those methods which pursue approximate solution effectively.These methods have been successfully used in many aspects.However,every soft computing method has its advantages and shortages in practical applications.Thus,fusion technology of soft computing is one of key technologies for promoting the development of soft computing.It briefly presents the developments of soft computing,analyzes fusion technology of soft computing in detail based on rough set,genetic algorithm,fuzzy logic,genetic algorithm and artificial immune algorithm.In addition,discuss the key problem and the future of fusion technology of soft computing such as theoretical basis,design rules and quantitative evaluation

备注/Memo

备注/Memo:

江苏省高校自然科学基金（05KJB520048）王大将（1983-），女，江苏淮安人，硕士，讲师，研究方向为软计算、数据挖掘

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更新日期/Last Update: 1900-01-01