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个人信息Personal Information
副教授
硕士生导师
性别：女
毕业院校：大连理工大学
学位：博士
所在单位：控制科学与工程学院
电子邮箱：liu_ying@dlut.edu.cn
Nonlinear system approximation and prediction using fuzzy Taylor neural network-based extreme learning machine
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论文类型：期刊论文
发表时间：2014-10-01
发表刊物：ICIC Express Letters, Part B: Applications
收录刊物：EI、Scopus
卷号：5
期号：5
页面范围：1231-1236
ISSN号：21852766
摘要：In this paper, a fuzzy neural network (FNN) which utilizes Taylor expansion as the consequent of fuzzy rules is proposed for modeling and predicting nonlinear systems. Fuzzy c-means (FCM) method is used to determine the number of fuzzy rules. Extreme learning machine (ELM) is adopted to determine the parameters of fuzzy neural network. Further, a structure-learning algorithm is obtained to determine the number of fuzzy rules and the order of the Taylor expansion. Simulation results show that the proposed model can achieve good approximation capability for some nonlinear systems with simpler structure. ? 2014 ICIC International.