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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：水利工程系
学科：水文学及水资源. 水利水电工程. 电力系统及其自动化. 计算机应用技术
联系方式：ctcheng@dlut.edu.cn
电子邮箱：ctcheng@dlut.edu.cn
Multi-step-ahead prediction based on B-spline interpolation and adaptive time-delay neural network
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论文类型：会议论文
发表时间：2005-09-11
收录刊物：EI
卷号：3697 LNCS
页面范围：565-570
摘要：The availability of accurate empirical models for multi-step-ahead (MS) prediction is desirable in many areas. Motivated by B-spline interpolation and adaptive time-delay neural network (ATNN) which have proven successful in addressing different complicated problems, we aim at investigating the applicability of ATNN for MS prediction and propose a hybrid model SATNN. The annual sunspots and Mackey-Glass equation considered as benchmark chaotic nonlinear systems were selected to test our model. Validation studies indicated that the proposed model is quite effective in MS prediction, especially for single factor time series. © Springer-Verlag Berlin Heidelberg 2005.