An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity von Armaghani, Danial Jahed, Harandizadeh, Hooman, Momeni, Ehsan, Maizir, Harnedi, Zhou, Jian

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A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets von Harandizadeh, Hooman, Jahed Armaghani, Danial, Khari, Mahdy

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Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets von Harandizadeh, Hooman, Armaghani, Danial Jahed, Mohamad, Edy Tonnizam

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TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm von Harandizadeh, Hooman, Armaghani, Danial Jahed, Asteris, Panagiotis G., Gandomi, Amir H.

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Application of Developed New Artificial Intelligence Approaches in Civil Engineering for Ultimate Pile Bearing Capacity Prediction in Soil Based on Experimental Datasets von Harandizadeh, Hooman, Toufigh, Vahid

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Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA von Harandizadeh, Hooman, Armaghani, Danial Jahed

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Developing a new hybrid soft computing technique in predicting ultimate pile bearing capacity using cone penetration test data von Harandizadeh, Hooman

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Load carrying capacity assessment of thin-walled foundations: an ANFIS–PNN model optimized by genetic algorithm von Jahed Armaghani, Danial, Harandizadeh, Hooman, Momeni, Ehsan

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Application of improved ANFIS approaches to estimate bearing capacity of piles von Harandizadeh, Hooman, Toufigh, Mohammad Mohsen, Toufigh, Vahid

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A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material von Harandizadeh, Hooman, Armaghani, Danial Jahed, Hasanipanah, Mahdi, Jahandari, Soheil

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