Potential assessment of the support vector regression technique in rainfall forecasting

ISSN： 0920-4741

Source： Water Resources Management, Vol.21, Iss.2, 2007-02, pp. : 495-513

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Streamflow forecasting using least-squares support vector machines

By Shabri Ani

Hydrological Sciences Journal, Vol. 57, Iss. 7, 2012-10 ,pp. : 1275-1293

Taylor & Francis Ltd

Access to resources Recommend Favorite

Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

By Hipni Afiq

Water Resources Management, Vol. 27, Iss. 10, 2013-08 ,pp. : 3803-3823

Springer Publishing Company

Access to resources Recommend Favorite

Derivation of Probabilistic Thresholds of Spatially Distributed Rainfall for Flood Forecasting

By Golian Saeed

Water Resources Management, Vol. 24, Iss. 13, 2010-10 ,pp. : 3547-3559

Springer Publishing Company

Access to resources Recommend Favorite

Application of piezoelectric transducers in simulated rainfall erosivity assessment

By Abd Elbasit Mohamed

Hydrological Sciences Journal, Vol. 56, Iss. 1, 2011-02 ,pp. : 187-194

Taylor & Francis Ltd

Access to resources Recommend Favorite

Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

By Kisi Ozgur

Water Resources Management, Vol. 25, Iss. 2, 2011-01 ,pp. : 579-600

Springer Publishing Company

Access to resources Recommend Favorite