標題: Intelligent Forecasting System Based on Grey Model and Neural Network
作者: Yang, Shih-Hung
Chen, Yon-Ping
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2009
摘要: This paper presents the design issues of two intelligent forecasting systems, feedforward-neural-network-aided grey model (FNAGM) and Elman-network-aided grey model (ENAGM). Both he FNAGM and ENAGM combine a first-order single variable grey model (GM(1,1)) and a neural network (NN). The GM(1,1) is adopted to predict signal, and the feedforward NN and the Elman network in the FNAGM and ENAGM respectively are used to learn the prediction error of the GM(1,1). Simulation results demonstrate that the intelligent forecasting systems with on-line learning can improve the prediction of the GM(1,1) and can be implemented in real-time prediction.
URI: http://hdl.handle.net/11536/17669
http://dx.doi.org/10.1109/AIM.2009.5229929
ISBN: 978-1-4244-2852-6
DOI: 10.1109/AIM.2009.5229929
期刊: 2009 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3
起始頁: 699
結束頁: 704
Appears in Collections:Conferences Paper


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