Mahdi Hasanipanah
Orcid: 0000-0001-7582-6745
According to our database1,
Mahdi Hasanipanah
authored at least 45 papers
between 2013 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material.
Neural Comput. Appl., 2022
Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure.
Eng. Comput., 2022
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock.
Eng. Comput., 2022
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.
Eng. Comput., 2022
An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting.
Eng. Comput., 2022
Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms.
Eng. Comput., 2022
An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting.
Eng. Comput., 2022
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock.
Eng. Comput., 2022
Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential.
Eng. Comput., 2022
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models.
Earth Sci. Informatics, 2022
2021
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength.
Neural Comput. Appl., 2021
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting.
Eng. Comput., 2021
GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles.
Eng. Comput., 2021
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS.
Eng. Comput., 2021
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak.
Eng. Comput., 2021
Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm.
Eng. Comput., 2021
A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration.
Eng. Comput., 2021
A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.
Eng. Comput., 2021
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting.
Appl. Soft Comput., 2021
2020
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining.
Neural Comput. Appl., 2020
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm.
Eng. Comput., 2020
Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.
Eng. Comput., 2020
The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock.
IEEE Access, 2020
2019
An intelligent based-model role to simulate the factor of safe slope by support vector regression.
Eng. Comput., 2019
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting.
Eng. Comput., 2019
Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system.
Eng. Comput., 2019
2018
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Developing a least squares support vector machine for estimating the blast-induced flyrock.
Eng. Comput., 2018
Eng. Comput., 2018
2017
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017
A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration.
Eng. Comput., 2017
Eng. Comput., 2017
Eng. Comput., 2017
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.
Eng. Comput., 2017
Eng. Comput., 2017
Eng. Comput., 2017
Eng. Comput., 2017
Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting.
Eng. Comput., 2017
2016
Eng. Comput., 2016
Several non-linear models in estimating air-overpressure resulting from mine blasting.
Eng. Comput., 2016
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.
Eng. Comput., 2016
A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure.
Eng. Comput., 2016
2013
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network.
Neural Comput. Appl., 2013