Hassan Bakhshandeh Amnieh

According to our database, Hassan Bakhshandeh Amnieh authored at least 17 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting.

Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2021

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles.

Zhenyan Luo, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Kathirvel Brindhadevi, Mahmood M. D. Tahir

Eng. Comput., 2021

Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak.

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2021

2020

Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining.

Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Neural Comput. Appl., 2020

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.

Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, Majid Khorami

Eng. Comput., 2020

2019

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting.

S. Farid F. Mojtahedi, Isa Ebtehaj, Mahdi Hasanipanah, Hossein Bonakdari, Hassan Bakhshandeh Amnieh

Eng. Comput., 2019

2018

Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting.

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, Mohammad Saber Zamzam

Neural Comput. Appl., 2018

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.

Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad

Neural Comput. Appl., 2018

Airblast prediction through a hybrid genetic algorithm-ANN model.

Danial Jahed Armaghani, Mahdi Hasanipanah, Amir Mahdiyar, Muhd Zaimi Abd. Majid, Hassan Bakhshandeh Amnieh, Mahmood M. D. Tahir

Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.

Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad

Neural Comput. Appl., 2018

Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming.

Danial Jahed Armaghani, Roohollah Shirani Faradonbeh, Hossein Rezaei, Ahmad Safuan A. Rashid, Hassan Bakhshandeh Amnieh

Neural Comput. Appl., 2018

2017

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Muhd Zaimi Abd. Majid, Mahmood M. D. Tahir

Neural Comput. Appl., 2017

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.

Mahdi Hasanipanah, Azam Shahnazar, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani

Eng. Comput., 2017

Forecasting blast-induced ground vibration developing a CART model.

Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi

Eng. Comput., 2017

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting.

Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2017

2016

Several non-linear models in estimating air-overpressure resulting from mine blasting.

Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, Hassan Bakhshandeh Amnieh, Saber Ghoraba

Eng. Comput., 2016

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure.

Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, Leyli Mohammad Khanli

Eng. Comput., 2016