摘要
软计算是解决含有不确定性、不精确性问题的关键技术之一;在众多的实际应用中,软计算已经体现出了卓越的性能.本文分析了软计算中三个主要的方法:模糊逻辑、神经网络和遗传算法,并分别介绍了它们在钢铁冶金工业中的应用.
Soft computing is a key technology to solve uncertain and imprecision problems, which has shown excellent performance in applications. The three main methods of soft computing, fuzzy logic, neural network and genetic algorithm, are analysed and their applications in ferrous metallurgical industry are introduced in this paper.
出处
《材料与冶金学报》
CAS
2004年第3期168-171,共4页
Journal of Materials and Metallurgy
关键词
软计算
模糊逻辑
神经网络
遗传算法
钢铁冶金工业
soft computing
fuzzy logic
neural network
genetic algorithm
ferrous metallurgical industry
