Vinayak Choubey

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This research presents the survey of the one of the most recent and broadly applicable approach of Data mining that is support vector machine. In this research, a hybrid cum combined model approach for runoff forecasting with the help of the technique of chaotic identification, least square support vector machine and wavelet analysis have been considered(More)
This study presents support vector machine based model for forecasting the runoff-rainfall events. A SVM based model is either implemented through Radial base or Gaussian based Kernel functions. SVM uses precipitation, temperature, sediment, rainfall, water level and discharge as input variable parameters. In this research the Sequential minimal(More)
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