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ORCIDHassan Bakhshandeh Amnieh
Person information
- affiliation: University of Tehran, Iran
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2020 – today
- 2021
[j17]Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah
, Hassan Bakhshandeh Amnieh:
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng. Comput. 37(1): 265-274 (2021)- [j16]Zhenyan Luo, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Kathirvel Brindhadevi, Mahmood M. D. Tahir:
GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles. Eng. Comput. 37(2): 823-831 (2021) - [j15]Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh:
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak. Eng. Comput. 37(3): 1879-1893 (2021) - 2020
- [j14]Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, Majid Khorami:
Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Eng. Comput. 36(4): 1379-1391 (2020) - [j13]Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh:
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining. Neural Comput. Appl. 32(18): 14681-14699 (2020)
2010 – 2019
- 2019
- [j12]S. Farid F. Mojtahedi, Isa Ebtehaj, Mahdi Hasanipanah, Hossein Bonakdari, Hassan Bakhshandeh Amnieh:
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting. Eng. Comput. 35(1): 47-56 (2019) - 2018
- [j11]Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad:
Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm. Neural Comput. Appl. 29(6): 269-281 (2018) - [j10]Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad:
Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Comput. Appl. 29(9): 457-465 (2018) - [j9]Danial Jahed Armaghani, Mahdi Hasanipanah, Amir Mahdiyar, Muhd Zaimi Abd. Majid, Hassan Bakhshandeh Amnieh, Mahmood M. D. Tahir:
Airblast prediction through a hybrid genetic algorithm-ANN model. Neural Comput. Appl. 29(9): 619-629 (2018) - [j8]Danial Jahed Armaghani, Roohollah Shirani Faradonbeh, Hossein Rezaei, Ahmad Safuan A. Rashid, Hassan Bakhshandeh Amnieh:
Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming. Neural Comput. Appl. 29(11): 1115-1125 (2018) - [j7]Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, Mohammad Saber Zamzam:
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting. Neural Comput. Appl. 30(4): 1015-1024 (2018) - 2017
- [j6]Mahdi Hasanipanah, Azam Shahnazar, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani:
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model. Eng. Comput. 33(1): 23-31 (2017) - [j5]Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh:
Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Eng. Comput. 33(2): 181-189 (2017) - [j4]Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi:
Forecasting blast-induced ground vibration developing a CART model. Eng. Comput. 33(2): 307-316 (2017) - [j3]Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Muhd Zaimi Abd. Majid, Mahmood M. D. Tahir:
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. Neural Comput. Appl. 28(S-1): 1043-1050 (2017) - 2016
- [j2]Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, Hassan Bakhshandeh Amnieh, Saber Ghoraba:
Several non-linear models in estimating air-overpressure resulting from mine blasting. Eng. Comput. 32(3): 441-455 (2016) - [j1]Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, Leyli Mohammad Khanli:
A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Eng. Comput. 32(4): 631-644 (2016)
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