reviewTop 1% cited
Support vector machine applications in the field of hydrology: A review
Applied Soft Computing · 2014 · Vol. 19 · pp. 372–386
Sujay Raghavendra Naganna✉(National Institute of Technology Karnataka)Paresh Chandra Deka(National Institute of Technology Karnataka)
Hydrological Forecasting Using AIHydrology and Watershed Management StudiesEnergy Load and Power ForecastingMachine learningSupport vector machineComputer scienceArtificial intelligenceStatistical learning theoryField (mathematics)Feature vectorFeature (linguistics)Range (aeronautics)Data mining
Citations
755
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19.60
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85
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100%
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References
Some results on Tchebycheffian spline functions
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Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
An overview of statistical learning theory
IEEE Transactions on Neural Networks · 1999 · 6,176 citations
Practical selection of SVM parameters and noise estimation for SVM regression
Neural Networks · 2003 · 2,017 citations
New Support Vector Algorithms
Neural Computation · 2000 · 2,793 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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