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。
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.
出处
《计算机技术与发展》
2012年第4期97-100,共4页
Computer Technology and Development
基金
江苏省高校自然科学基金(05KJB520048)
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
soft computing
fusion techniques
rough set
neural network
fuzzy logic
genetic algorithm
artificial immune algorithm
