A comparison of time series forecasting using support vector machine and artificial neural network model
Time series prediction is an important problem in many applications in natural science, engineering and economics. The objective of this study is to examine the flexibility of Support Vector Machine (SVM) in time series forecasting by comparing it with a multi-layer back-propagation (BP) neural netw...
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| Main Authors: | , , |
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| 格式: | Article |
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Asian Network for Scientific Information
2010
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/22789/ http://dx.doi.org/10.3923/jas.2010.950.958 |
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