Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

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@Article{gholami:NCaA,

• author = "Azadeh Gholami and Hossein Bonakdari and Mohammad Zeynoddin and Isa Ebtehaj and Bahram Gharabaghi and Saeed Reza Khodashenas",
• title = "Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques",
• journal = "Neural Computing and Applications",
• year = "2019",
• volume = "31",
• number = "10",
• pages = "5799--5817",
• month = oct,
• keywords = "genetic algorithms, genetic programming, Gene expression programming, Bank profile shape, Threshold channel, Sensitivity analysis",
• URL = "http://link.springer.com/article/10.1007/s00521-018-3411-7",
• DOI = "doi:10.1007/s00521-018-3411-7",
• abstract = "The geometric dimensions and bank profile shape of channels with boundaries containing particles on the verge of motion (threshold channels) are significant factors in channel design. In this study, extensive experimental work was done at different flow velocities to propose a reliable method capable of estimating stable channel bank profile. The proposed method is based on gene expression programming (GEP). Laboratorial datasets obtained from Mikhailova et al. (Hydro Tech Constr 14:714-722, 1980), Ikeda (J Hydraul Div ASCE 107:389-406 1981), Diplas (J Hydraul Eng ASCE 116:707-728, 1990) and Hassanzadeh et al. (J Civil Environ Eng 43(4):59-68, 2014) were used to train, test, validate and examine the GEP model in various geometric and hydraulic conditions. The obtained results demonstrate that the proposed model can estimate bank profile characteristics with great accuracy (determination coefficient of 0.973 and mean absolute relative error of 0.147). Moreover, for practi",

}

Genetic Programming entries for Azadeh Gholami Hossein Bonakdari Mohammad Zeynoddin Isa Ebtehaj Bahram Gharabaghi Saeed Reza Khodashenas

Citations