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Prediction of environmental indicators in land leveling using artificial intelligence techniques

by Alzoubi, Isham, Almaliki, Salim, Mirzaei, Farhad
Published in Chemical and biological technologies in agriculture (27.02.2019)

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Comparing ANFIS and integrating algorithm models (ICA-ANN, PSO-ANN, and GA-ANN) for prediction of energy consumption for irrigation land leveling

by Alzoubi, Isham, Delavar, Mahmoud R., Mirzaei, Farhad, Nadjar Arrabi, Babak
Published in Geosystem engineering (04.03.2018)

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Effect of soil properties for prediction of energy consumption in land levelling irrigation

by Alzoubi, Isham, Delavar, Mahmoud R., Mirzaei, Farhad, Nadjar Arrabi, Babak
Published in International journal of ambient energy (20.03.2020)

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Modeling and predict environmental indicators for land leveling using adaptive neuro-fuzzy inference system (ANFIS), and regression

by Mirzaei, Farhad, Delavar, Mahmoud, Alzoubi, Isham, Nadjar Arrabi, Babak
Published in International journal of energy sector management (23.10.2018)

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Prediction of environmental indicators in land leveling using artificial intelligence techniques

by Alzoubi, Isham, Delavar, Mahmoud R., Mirzaei, Farhad, Arrabi, Babak Nadjar
Published in Journal of environmental health science and engineering (11.04.2018)

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Integrating artificial neural network and imperialist competitive algorithm (ICA), to predict the energy consumption for land leveling

by Alzoubi, Isham, Delavar, Mahmoud, Mirzaei, Farhad, Nadjar Arrabi, Babak
Published in International journal of energy sector management (18.09.2017)

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Journal Article

Prediction of environmental indicators in land leveling using artificial intelligence techniques

Comparing ANFIS and integrating algorithm models (ICA-ANN, PSO-ANN, and GA-ANN) for prediction of energy consumption for irrigation land leveling

Effect of soil properties for prediction of energy consumption in land levelling irrigation

Modeling and predict environmental indicators for land leveling using adaptive neuro-fuzzy inference system (ANFIS), and regression

Prediction of environmental indicators in land leveling using artificial intelligence techniques

Integrating artificial neural network and imperialist competitive algorithm (ICA), to predict the energy consumption for land leveling

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