Genetic Programming Bibliography entries for Hossein Bonakdari
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Amir Hossein Zaji,
Zohreh Sheikh Khozani,
Saeed Reza Khodashenas,
Genetic Programming Articles by Hossein Bonakdari
Minoo Sharifipour and Hossein Bonakdari and Amir Hossein Zaji.
Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction.
Neural Computing and Applications, 30(3) 2018.
Saeid Shabanlou and Hamed Azimi and Isa Ebtehaj and Hossein Bonakdari.
Determining the Scour Dimensions Around Submerged Vanes in a 180? Bend with the Gene Expression Programming Technique.
Journal of Marine Science and Application, 17(2) 2018.
Hojat Karami and Sohrab Karimi and Hossein Bonakdari and Shahabodin Shamshirband.
Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming.
Neural Computing and Applications, 29(11) 2018.
Hossein Bonakdari and Zohreh Sheikh Khozani and Amir Hossein Zaji and Navid Asadpour.
Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study.
Applied Mathematics and Computation, 338:400-411, 2018.
Akbar Safarzadeh and Amir Hossein Zaji and Hossein Bonakdari.
Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne.
Applied Soft Computing, 60:213-228, 2017.
Zohreh Sheikh Khozani and Hossein Bonakdari and Amir Hossein Zaji.
Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels.
Measurement, 87:87-98, 2016.
Hossein Bonakdari and Amir Hossein Zaji.
Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural network.
Flow Measurement and Instrumentation, 49:46-51, 2016.
Isa Ebtehaj and Hossein Bonakdari and Amir Hossein Zaji and Hamed Azimi and Ali Sharifi.
Gene expression programming to predict the discharge coefficient in rectangular side weirs.
Applied Soft Computing, 35:618-628, 2015.
Amir Hossein Zaji and Hossein Bonakdari.
Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions.
Flow Measurement and Instrumentation, 41:81-89, 2015.
Azadeh Gholami and Hossein Bonakdari and Mohammad Zeynoddin and Isa Ebtehaj and Bahram Gharabaghi and Saeed Reza Khodashenas.
Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques.
Neural Computing and Applications.