Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
- Author
- ZHOU JIAN1 ; LI XIBING1 ; SHI XIUZHI1 2
[1] School of Resources and Safety Engineering, Central South University, Changsha 410083, China
[2] Postdoctoral Workstation of Daye Nonferrous Metals Company, Huangshi 435005, China - Conference name
- INTERNATIONAL SYMPOSIUM ON MINE SAFETY SCIENCE AND ENGINEERING (5 ; Beijing 2011-10-26)
- Source
Safety science. 2012, Vol 50, Num 4, pp 629-644, 16 p ; ref : 1 p.1/4
- ISSN
- 0925-7535
- Scientific domain
- Hygiene and public health, epidemiology, occupational medicine
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Conference Paper
- Language
- English
- Author keyword
- Classification Genetic algorithm (GA) Particle swarm optimization algorithm (PSO) Prediction Rockburst Support vector machines (SVMs) Underground openings
- Keyword (fr)
- Algorithme Classification Coup terrain Exploitation minière souterraine Exploitation minière Mine Modèle Prévision Symposium Sécurité Chine Asie Extrême Orient
- Keyword (en)
- algorithms classification rock bursts underground mining mining mines models prediction symposia safety China Asia Far East
- Keyword (es)
- Algoritmo Clasificación Rotura carga Mina Modelo Previsión China Asia Extremo Oriente
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01O Engineering and environment geology. Geothermics / 001E01O01 Engineering geology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 25935468
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ssci.2011.08.065 
https://dx.doi.org/10.1016/j.ssci.2011.08.065
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