Wavelet based relevance vector machine model for monthly runoff prediction
Wavelet based relevance vector machine model for monthly runoff prediction is a scholarly work, published in 2018 in ''Water Quality Research Journal of Canada''. The main subjects of the publication include wavelet, relevance vector machine, data mining, artificial intelligence, computer science, hydrological model, algorithm, subsequence, wavelet transform, support vector machine, relevance, surface runoff, mathematics, pattern recognition, inverse, and flood risk assessment. The proposed model was tested using the historical data of Minjiang River; the results show that compared with the RVM model, the WT-RVM model has better precision and can be applied in the prediction of monthly runoff..