Mahdi Hasanipanah
Orcid: 0000000175826745
According to our database^{1},
Mahdi Hasanipanah
authored at least 45 papers
between 2013 and 2022.
Collaborative distances:
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Bibliography
2022
A novel TS FuzzyGMDH model optimized by PSO to determine the deformation values of rock material.
Neural Comput. Appl., 2022
Stochastic fractal searchtuned ANFIS model to predict blastinduced air overpressure.
Eng. Comput., 2022
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock.
Eng. Comput., 2022
A new autotuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.
Eng. Comput., 2022
An ANNadaptive 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 metaheuristic computing paradigms.
Eng. Comput., 2022
An integrated approach of ANFISgrasshopper optimization algorithm to approximate flyrock distance in mine blasting.
Eng. Comput., 2022
A novel systematic and evolved approach based on XGBoostfirefly 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 FFAANFIS and GAANFIS models to predict particle size distribution of a muckpile after blasting.
Eng. Comput., 2021
GASVR: a novel hybrid datadriven 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 SFSANFIS.
Eng. Comput., 2021
Developing a new uncertain rulebased fuzzy approach for evaluating the blastinduced backbreak.
Eng. Comput., 2021
Predicting the blastinduced 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 blastinduced 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 blastinduced AOp using a hybrid fuzzy system and firefly algorithm.
Eng. Comput., 2020
Development of a novel hybrid intelligent model for solving engineering problems using GSGMDH 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 basedmodel 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 neurofuzzy inference system.
Eng. Comput., 2019
2018
Feasibility of PSOANFIS model to estimate rock fragmentation produced by mine blasting.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Feasibility of ICA in approximating ground vibration resulting from mine blasting.
Neural Comput. Appl., 2018
Developing a least squares support vector machine for estimating the blastinduced 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 algorithmartificial neural network for forecasting the blastproduced ground vibration.
Eng. Comput., 2017
Eng. Comput., 2017
Eng. Comput., 2017
Prediction of airoverpressure caused by mine blasting using a new hybrid PSOSVR 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
Feasibility of PSOANN model for predicting surface settlement caused by tunneling.
Eng. Comput., 2016
Several nonlinear models in estimating airoverpressure resulting from mine blasting.
Eng. Comput., 2016
A combination of the ICAANN model to predict airoverpressure resulting from blasting.
Eng. Comput., 2016
A new combination of artificial neural network and Knearest neighbors models to predict blastinduced ground vibration and airoverpressure.
Eng. Comput., 2016
2013
Evaluation and prediction of blastinduced ground vibration at Shur River Dam, Iran, by artificial neural network.
Neural Comput. Appl., 2013