Hybridizing Pattern Matching and Neural Network for Time Series Prediction

被引：0
|
作者：
Nguyen Thanh Son [1 ]
Duong Tuan Anh [2 ]
机构：
[1] Ho Chi Minh Univ Tech Educ, Fac Informat Technol, Ho Chi Minh City, Vietnam
[2] Ho Chi Minh Univ Technol, Fac Comp Sci & Engn, Ho Chi Minh City, Vietnam
来源：
2013 THIRD WORLD CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGIES (WICT) | 2013年
关键词：
time series; time series prediction; k-nearest-neighbors; artificial neural network; hybrid method; UNIVARIATE; MODELS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Time series prediction is a non-trivial task for forecasters in various areas. In this paper, we introduce a new hybrid method for time series prediction. This hybrid method is a combination of k-nearest neighbors method and neural network model. The new method can take full advantage of the individual strengths of the two models to create a more effective approach for time series prediction. Experimental results show that our proposed method outperforms neural network model and k-nearest neighbors method used separately in time series prediction.
引用
收藏
页码：19 / 24
页数：6
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