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Data in intelligent approach for estimation of disc cutter life using hybrid metaheuristic algorithm
Elbaz, Khalid1; Shen, Shui Long1; Zhou, Annan2; Yin, Zhen Yu3; Lyu, Hai Min4
2020-11-01
MediaElsevier Inc.
DOI10.1016/j.dib.2020.106479
KeywordDisc Cutter Genetic Algorithm Gmdh-type Neural Network Tunnel Boring Machine
Language英語English
URLView the original
Scopus ID2-s2.0-85095938538
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Document TypeOther
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorShen, Shui Long
Affiliation1.MOE Key Laboratory of Intelligence Manufacturing Technology, Department of Civil and Environmental Engineering, College of Engineering, Shantou University, Guangdong, 515063, China
2.Discipline of Civil and Infrastructure, School of Engineering, Royal Melbourne Institute of Technology, Victoria, 3001, Australia
3.Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
4.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Elbaz, Khalid,Shen, Shui Long,Zhou, Annan,et al. Data in intelligent approach for estimation of disc cutter life using hybrid metaheuristic algorithm. 2020-11-01.
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