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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khazaee, P.R. Mozayani, N. Motlagh, M.R.J. |
| Copyright Year | 2008 |
| Description | Author affiliation: Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran (Khazaee, P.R.; Mozayani, N.; Motlagh, M.R.J.) |
| Abstract | In this paper we presented a genetic-based optimal input selection method. This method uses mutual information as similarity measure between variables and output. Based on mutual information the proper input variables, which describe the time series dynamics properly, will be selected. The selected inputs have a maximum relevance with output variable and there exists minimum redundancy between them. This algorithm prepares proper input for wavelet neural network (WNN) prediction model. The WNN prediction model utilized for time series prediction benchmark in NN3 competition and sunspot data. Presented result shows that selected input with GA outperform other input selection method like correlation analysis, gamma test and greedy alg. prediction result indicates that proper inputs have a great impact on prediction efficiency. |
| Starting Page | 2133 |
| Ending Page | 2137 |
| File Size | 366481 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424423835 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2008.4811607 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Input variables Mutual information Predictive models Neural networks Genetic algorithms Computer networks Genetic engineering Load forecasting Linear regression Time measurement wavelet network feature selection Genetic Algorithm time series prediction mutual information |
| Content Type | Text |
| Resource Type | Article |
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