文献类型：期刊文献

英文题名：An improved boosting scheme based ensemble of Fuzzy Neural Networks for nonlinear time series prediction

作者：Dong, Yilin[1]; Zhang, Jianhua[1]

机构：[1] Department of Automation, East China University of Science and Technology, Shanghai, China

年份：2014

起止页码：157

外文期刊名：Proceedings of the International Joint Conference on Neural Networks

收录：EI(收录号：20144500172294)

语种：英文

外文关键词：Forecasting - Time series - Fuzzy neural networks - Fuzzy inference

摘要：This paper proposed a Modified AdaBoostRT (AdaBoost Regression and Threshold) algorithm based on Fuzzy Neural Networks (FNNs) and its application to the accurate prediction of complex nonlinear time-series. The algorithm is validated by using four typical time-series data, namely Lorenz, Mackey-Glass, Sunspot and Dow Jones Indices data. The performance comparison of the proposed method and several existing approaches is also performed to show its advantages for nonlinear time series prediction problems. ? 2014 IEEE.