Assessment the Performance of Support Vector Machine and Artificial Neural Network Systems for Regional Flood Frequency Analysis (A Case Study: Namak Lake Watershed)

undefined; undefined; undefined; E. Shrifi Garmdareh; M. Vafakhah; S. Eslamian

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Assessment the Performance of Support Vector Machine and Artificial Neural Network Systems for Regional Flood Frequency Analysis (A Case Study: Namak Lake Watershed)

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Journal of Water and Soil Science (2019) 23(1) 351-366

DOI: 10.29252/jstnar.23.1.26

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Abstract

… Finally, data modeling was performed using the support vector machine, artificial neural networks and nonlinear multivariate regression techniques. Quantitative and qualitative …

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APA

Shrifi Garmdareh, E., Vafakhah, M., & Eslamian, S. (2019). Assessment the Performance of Support Vector Machine and Artificial Neural Network Systems for Regional Flood Frequency Analysis (A Case Study: Namak Lake Watershed). Journal of Water and Soil Science, 23(1), 351–366. https://doi.org/10.29252/jstnar.23.1.26

Assessment the Performance of Support Vector Machine and Artificial Neural Network Systems for Regional Flood Frequency Analysis (A Case Study: Namak Lake Watershed)

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