Hassan Bakhshandeh Amnieh
Affiliations:- University of Tehran, Iran
According to our database1,
Hassan Bakhshandeh Amnieh
authored at least 17 papers
between 2016 and 2021.
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Bibliography
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
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak.
Eng. Comput., 2021
2020
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining.
Neural Comput. Appl., 2020
Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.
Eng. Comput., 2020
2019
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting.
Eng. Comput., 2019
2018
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting.
Neural Comput. Appl., 2018
Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Neural Comput. Appl., 2018
Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming.
Neural Comput. Appl., 2018
2017
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.
Eng. Comput., 2017
Eng. Comput., 2017
Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting.
Eng. Comput., 2017
2016
Several non-linear models in estimating air-overpressure resulting from mine 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