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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bao Rong Chang Shiou Fen Tsai |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept of Electr. Eng., Cheng Shiu Inst. of Technol., Kaoshiung, Taiwan (Bao Rong Chang) |
| Abstract | This study introduced a grey-cumulative LSM predictor to compare with regression, backpropagation neural network predictor, Box-Jenkins, and Holt-Winters smoothing utilized for the applications of non-periodic short-term time series forecast. Statistics methods and neural network predictors are widely applicable on the issue of short-term forecasting. However, they encounter the crucial problem that the predicted values always cannot achieve the satisfactory results because the generalization capability in neural network predictors can perform extrapolation well. Therefore, this proposed predictor can improve generalization capability for extrapolation, and it is in fact is a hybrid model, combing a grey prediction model and a cumulative least squared linear prediction model, with the technique of backpropagation neural network based automatically adapting weights for both models. The verification of this study also experiments successfully in the stock price indexes forecast, and the results of the hybrid predictor achieved the best accuracy on the predicted stock price indexes as compared with the backpropagation neural network predictor, Box-Jenkins, and Holt-Winters smoothing. |
| File Size | 267409 |
| File Format | |
| ISBN | 0780374371 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2002.1175645 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-10-06 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Least squares approximation Neural networks Predictive models Smoothing methods Neodymium Economic forecasting Statistics Turning Technology forecasting Load forecasting |
| Content Type | Text |
| Resource Type | Article |
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