Genetic Programming Bibliography entries for Amir Hossein Zaji

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GP coauthors/coeditors: Hossein Bonakdari, Zohreh Sheikh Khozani, Navid Asadpour, Isa Ebtehaj, Hamed Azimi, Ali Sharifi, Akbar Safarzadeh, Minoo Sharifipour,

Genetic Programming Articles by Amir Hossein Zaji

  1. 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. details

  2. 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. details

  3. 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. details

  4. 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. details

  5. 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. details

  6. 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. details

  7. 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. details