| A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets H Harandizadeh, D Jahed Armaghani, M Khari Engineering with Computers 37 (1), 685-700, 2021 | 111 | 2021 |
| An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity DJ Armaghani, H Harandizadeh, E Momeni, H Maizir, J Zhou Artificial Intelligence Review, 1-38, 2022 | 78 | 2022 |
| Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA H Harandizadeh, DJ Armaghani Applied Soft Computing 99, 106904, 2021 | 77 | 2021 |
| Application of improved ANFIS approaches to estimate bearing capacity of piles H Harandizadeh, MM Toufigh, V Toufigh Soft Computing 23, 9537-9549, 2019 | 45 | 2019 |
| Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets H Harandizadeh, DJ Armaghani, ET Mohamad Neural Computing and Applications 32, 14047-14067, 2020 | 39 | 2020 |
| TBM performance prediction developing a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm H Harandizadeh, DJ Armaghani, PG Asteris, AH Gandomi Neural Computing and Applications 33 (23), 16149-16179, 2021 | 30 | 2021 |
| Load carrying capacity assessment of thin-walled foundations: an ANFIS–PNN model optimized by genetic algorithm D Jahed Armaghani, H Harandizadeh, E Momeni Engineering with Computers, 1-23, 2021 | 24 | 2021 |
| Application of developed new artificial intelligence approaches in civil engineering for ultimate pile bearing capacity prediction in soil based on experimental datasets H Harandizadeh, V Toufigh Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2020 | 16 | 2020 |
| Developing a new hybrid soft computing technique in predicting ultimate pile bearing capacity using cone penetration test data H Harandizadeh AI EDAM 34 (1), 114-126, 2020 | 15 | 2020 |
| Different neural networks and modal tree method for predicting ultimate bearing capacity of piles H Harandizadeh, MM Toufigh, V Toufigh Iran Univ Sci Technol 8, 311-328, 2018 | 10 | 2018 |
| DIFFERENT NEURAL NETWORKS AND MODAL TREE METHOD FOR PREDICTING ULTIMATE BEARING CAPACITY OF PILES H Harandizadeh, MM Toufigh, V Toufigh | 10* | |
| A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material H Harandizadeh, DJ Armaghani, M Hasanipanah, S Jahandari Neural Computing and Applications 34 (18), 15755-15779, 2022 | 2 | 2022 |
| Pile bearing capacity estimation using GEP, RBFNN and MVNR techniques H Harandizadeh, DJ Armaghani, V Toufigh 1 1 (2), 165, 2020 | 1 | 2020 |
Danial Jahed ArmaghaniUniversity of Technology SydneyVerified email at uts.edu.au
