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- AI-NN-PR
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- 2012-11-26
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Description: This research attempts to demonstrate the promising applications of a relatively
new machine learning tool, support vector machine, on chaotic hydrological time
series forecasting. The ability to achieve high prediction accuracy of any model is one
of the central problems in water resources management. In this study, the high
effectiveness and efficiency of the model is achieved based on the following three
major contributions.
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Xinying_Ph.D.thesis.pdf
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