Developing six hybrid machine learning models based on gaussian process regression and meta-heuristic optimization algorithms for prediction of duration and cost of road tunnels construction

被引：0

作者：

Mahmoodzadeh, Arsalan ^{[1
]}

Nejati, Hamid Reza ^{[1
]}

Mohammadi, Mokhtar ^{[2
]}

Hashim Ibrahim, Hawkar ^{[3
]}

Khishe, Mohammad ^{[4
]}

Rashidi, Shima ^{[5
]}

Hussein Mohammed, Adil ^{[6
]}

机构：

[1] Rock Mechanics Division, School of Engineering, Tarbiat Modares University, Tehran, Iran

[2] Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq

[3] Department of Civil Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan Region, Erbil,44002, Iraq

[4] Department of Marine Electronics and Communication Engineering, Imam Khomeini Marine Science University of Nowshahr, Nowshahr, Iran

[5] Department of Computer Science, College of Science and Technology, University of Human Development, Kurdistan Region, Sulaymaniyah, Iraq

[6] Department of Communication and Computer Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq

来源：

Tunnelling and Underground Space Technology | 2022年 / 130卷

关键词：

401.2 Tunnels and Tunneling - 406.2 Roads and Streets - 444.2 Groundwater - 723 Computer Software; Data Handling and Applications - 723.1 Computer Programming - 723.4 Artificial Intelligence - 723.4.2 Machine Learning - 911 Cost and Value Engineering; Industrial Economics - 912.2 Management - 921 Mathematics - 921.5 Optimization Techniques - 922.1 Probability Theory - 922.2 Mathematical Statistics;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 17 条

[1] Developing six hybrid machine learning models based on gaussian process regression and meta-heuristic optimization algorithms for prediction of duration and cost of road tunnels construction
Mahmoodzadeh, Arsalan
Nejati, Hamid Reza
Mohammadi, Mokhtar
Ibrahim, Hawkar Hashim
Khishe, Mohammad
Rashidi, Shima
Mohammed, Adil Hussein
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 130
[2] Prediction of duration and construction cost of road tunnels using Gaussian process regression
Mahmoodzadeh A.
Mohammadi M.
Abdulhamid S.N.
Ibrahim H.H.
Ali H.F.H.
Nejati H.R.
Rashidi S.
Geomechanics and Engineering, 2022, 28 (01): : 65 - 75
[3] Prediction of duration and construction cost of road tunnels using Gaussian process regression
Mahmoodzadeh, Arsalan
Mohammadi, Mokhtar
Abdulhamid, Sazan Nariman
Ibrahim, Hawkar Hashim
Ali, Hunar Farid Hama
Nejati, Hamid Reza
Rashidi, Shima
GEOMECHANICS AND ENGINEERING, 2022, 28 (01) : 65 - 75
[4] Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
Wu, Lifeng
Huang, Guomin
Fan, Junliang
Ma, Xin
Zhou, Hanmi
Zeng, Wenzhi
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 168
[5] Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
Zhang, Pin
Wu, Huai-Na
Chen, Ren-Peng
Chan, Tommy H. T.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2020, 99
[6] Efficient optimization of robust project scheduling for industry 4.0: A hybrid approach based on machine learning and meta-heuristic algorithms
Goli, Alireza
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2024, 278
[7] Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets
Ekmekcioglu, Omer
Basakin, Eyyup Ensar
Ozger, Mehmet
URBAN WATER JOURNAL, 2022, 19 (10) : 1093 - 1108
[8] Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
Zhang, Hong
Hoang Nguyen
Bui, Xuan-Nam
Pradhan, Biswajeet
Ngoc-Luan Mai
Diep-Anh Vu
RESOURCES POLICY, 2021, 73
[9] Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms
Pradeep, T.
Bardhan, Abidhan
Burman, Avijit
Samui, Pijush
INFRASTRUCTURES, 2021, 6 (09)
[10] Meta-heuristic optimization algorithms based feature selection for joint moment prediction of sit-to-stand movement using machine learning algorithms
Ekinci E.
Garip Z.
Serbest K.
Computers in Biology and Medicine, 2024, 178

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