Neuro Fuzzy Model with Singular Value Decomposition for Forecasting the Number of Train Passengers in Yogyakarta

摘要：

　　The neuro fuzzy model is a model that combines fuzzy and neural network,which has been applied to time series forecasting.A singular value decomposition method can be utilized for optimization of the neuro-fuzzy model based on the singular values of the matrix.This research aims to forecast the number of train passengers of PT Kereta Api Indonesia(Persero)Operating Region VI Yogyakarta by applying the neuro-fuzzy model with singular value decomposition.The forecasting accuracy of the proposed model is compared with those of the one order Takagi Sugeno Kang fuzzy model and the neuro-fuzzy whose optimization is done by the least square method.The results demonstrate that neuro-fuzzy models with singular value decomposition are more accurate than the other two models on testing data but not better on training data.

关键词： neuro fuzzy model singular value decomposition train passenger one order Takagi Sugeno Kang fuzzy model least square method

作者: Agus Maman Abadi Dhoriva Urwatul Wutsqa

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 172-182

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）