Stream flow forecasting using principal component analysis and least square support vector machine
This paper investigates the ability of Least Square Support Vector Machine (LSSVM) with Principal Component Analysis model as data preprocessing tool to improve the accuracy of stream flow forecasting. The objective of this study is to evaluate the potential of a Principal Componen...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
AENSI Publisher
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59953/ |
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| Institution: | Universiti Teknologi Malaysia |