Applying Optimized Support Vector Regression Models for Prediction of Tunnel Boring Machine Performance H Fattahi, N Babanouri Geotechnical and Geological Engineering 35 (5), 2205–2217, 2017 | 69 | 2017 |
Applying improved artificial neural network models to evaluate drilling rate index H Fattahi, H Bazdar Tunnelling and Underground Space Technology 70, 114-124, 2017 | 68 | 2017 |
Applying soft computing methods to predict the uniaxial compressive strength of rocks from Schmidt hammer rebound values H Fattahi Computational Geosciences 21 (4), 665–681, 2017 | 65 | 2017 |
Prediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods H Fattahi Journal of Mining and Environment 8 (2), 163-177, 2017 | 61 | 2017 |
Adaptive neuro fuzzy inference system based on fuzzy c–means clustering algorithm, a technique for estimation of TBM penetration rate H Fattahi International Journal of Optimization in Civil Engineering 6 (2), 159-171, 2016 | 59 | 2016 |
Indirect estimation of deformation modulus of an in situ rock mass: an ANFIS model based on grid partitioning, fuzzy c-means clustering and subtractive clustering H Fattahi Geosciences Journal 20 (5), 681–690, 2016 | 58 | 2016 |
Estimation of asphaltene precipitation from titration data: a hybrid support vector regression with harmony search H Fattahi, A Gholami, MS Amiribakhtiar, S Moradi Neural Computing and Applications 26 (4), 789-798, 2015 | 50 | 2015 |
Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms H Fattahi, M Hasanipanah Natural Resources Research 30 (2), 1849-1863, 2021 | 49 | 2021 |
Application of improved support vector regression model for prediction of deformation modulus of a rock mass H Fattahi Engineering with Computers 32, 567-580, 2016 | 49 | 2016 |
Hybrid Monte Carlo simulation and ANFIS-subtractive clustering method for reliability analysis of the excavation damaged zone in underground spaces H Fattahi, S Shojaee, MAE Farsangi, H Mansouri Computers and Geotechnics 54, 210-221, 2013 | 49 | 2013 |
Prediction of porosity and water saturation using pre-stack seismic attributes: a comparison of Bayesian inversion and computational intelligence methods H Fattahi, S Karimpouli Computational Geosciences 20, 1075-1094, 2016 | 41 | 2016 |
Risk Assessment and Estimation of TBM Penetration Rate Using RES-Based Model H Fattahi, A Moradi Geotechnical and Geological Engineering 35 (1), 365–376, 2017 | 38 | 2017 |
A new approach for estimation of the rock mass deformation modulus: a rock engineering systems-based model H Fattahi, A Moradi Bulletin of Engineering Geology and the Environment 77 (1), 363–374, 2018 | 37 | 2018 |
An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting H Fattahi, M Hasanipanah Engineering with Computers 38, 2619–2631, 2022 | 35 | 2022 |
Feasibility of Monte Carlo simulation for predicting deformation modulus of rock mass H Fattahi, Z Varmazyari, N Babanouri Tunnelling and Underground Space Technology 89, 151-156, 2019 | 32 | 2019 |
Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran Z Bayatzadeh Fard, F Ghadimi, H Fattahi Journal of Mining and Environment 8 (1), 35-48, 2017 | 29 | 2017 |
Risk assessment and prediction of safety factor for circular failure slope using rock engineering systems H Fattahi Environmental earth sciences 76 (5), 224, 2017 | 27 | 2017 |
Hybrid wavelet transform with artificial neural network for forecasting of shear wave velocity from wireline log data: a case study H Fattahi, NZ Ilghani Environmental Earth Sciences 80 (1), 1-10, 2021 | 26 | 2021 |
Slope Stability Analysis Using Bayesian Markov Chain Monte Carlo Method H Fattahi, N Zandy Ilghani Geotechnical and Geological Engineering 38, 2609–2618, 2020 | 25 | 2020 |
Investigating correlation of physico-mechanical parameters and P-wave velocity of rocks: A comparative intelligent study H Fattahi, M Hasanipanah, N Zandy Ilghani Journal of Mining and Environment 12 (3), 863-875, 2021 | 22 | 2021 |