Yazar
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An ensemble genetic programming approach to develop incipient sediment motion models in rectangular channels
Sheikh Khozani, Z.; Safari, M.J.S.; Danandeh Mehr, A.; Wan Mohtar, W.H.M. (Journal of Hydrology, 2020)Assimilating unique features of genetic programming (GP) and gene expression programming (GEP), this study introduces a hybrid algorithm which results in promising incipient non-cohesive sediment motion models. The new ... -
Application of Soft Computing Techniques for Particle Froude Number Estimation in Sewer Pipes
Danandeh Mehr, A.; Safari, M.J.S. (Journal of Pipeline Systems Engineering and Practice, 2020)Sedimentation in sewer networks is a major problem in urban hydrology. In comparison to the well-known classic sediment transport models, this study investigates the capabilities of soft computing methods, including multigene ... -
Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes
Ebtehaj, I.; Bonakdari, H.; Safari, M.J.S.; Gharabaghi, B.; Zaji, A.H.; Riahi Madavar, H.; Sheikh Khozani, Z.; Es-haghi, M.S.; Shishegaran, A.; Danandeh Mehr, A. (International Journal of Sediment Research, 2020)Mitigation of sediment deposition in lined open channels is an essential issue in hydraulic engineering practice. Hence, the limiting velocity should be determined to keep the channel bottom clean from sediment deposits. ... -
Drought modeling using classic time series and hybrid wavelet-gene expression programming models
Mehdizadeh, S.; Ahmadi, F.; Danandeh Mehr, A.; Safari, M.J.S. (Journal of Hydrology, 2020)The standardized precipitation evapotranspiration index (SPEI) at three different time scales (i.e., SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are modeled in this study. To this end, two ... -
Electrical energy demand prediction: A comparison between genetic programming and decision tree
Danandeh Mehr, A.; Bagheri, F.; Safari, M.J.S. (Gazi University Journal of Science, 2020)Several recent studies have used various data mining techniques to obtain accurate electrical energy demand forecasts in power supply systems. This paper, for the first time, compares the efficiency of the decision tree ... -
Multiple genetic programming: a new approach to improve genetic-based month ahead rainfall forecasts
Danandeh Mehr, A.; Safari, M.J.S. (Environmental Monitoring and Assessment, 2020)It is well documented that standalone machine learning methods are not suitable for rainfall forecasting in long lead-time horizons. The task is more difficult in arid and semiarid regions. Addressing these issues, the ... -
Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
Safari, M.J.S.; Rahimzadeh Arashloo, S.; Danandeh Mehr, A. (Journal of Hydrology, 2020)In this study, Regression in the Reproducing Kernel Hilbert Space (RRKHS) technique which is a non-linear regression approach formulated in the reproducing kernel Hilbert space (RRKHS) is applied for rainfall-runoff (R-R) ...
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