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A combination of traditional time series forecasting models with fuzzy learning neural networks

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2 Author(s)
Chang-Yang Wen ; Dept. of Comput. Sci., Zhejiang Univ., Hangzhou, China ; Min Yao

Discusses a combined model of three traditional time series forecasting (TSF) models, which involves a regression model, an exponential smoothing model and a gray forecasting model, using neural networks (NNs) to assemble them based on a fuzzy learning algorithm. Finally we represent an example of a TSF financial application in telecom enterprises to show its improvement in forecasting accuracy.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:1 )

Date of Conference:

2002