Title :
Evaluation of Thermal Environment in Mine Based on Support Vector Machines
Author :
Wang Zhijun ; Gao Jianliang ; Cheng Lei
Author_Institution :
Sch. of Safety Sci. & Eng., Henan Polytech. Univ., Jiaozuo, China
Abstract :
Considering shortage of data and many complicated influence factors about heat harm in mine, an estimation model of thermal environment in mine based on support vector machine is put forward in this paper. Theory of support vector machine regression is analyzed. The influence factors about heat harm in mine are summarized. Four main influence factors are proposed as evaluation indexes of thermal environment. Learning samples are constructed on the basis of practical data from some mines in China. Leave one out cross validation shows accuracy of the estimation method. Experiment shows that the method is highly operational with high accuracy.
Keywords :
learning (artificial intelligence); mining; occupational health; occupational safety; regression analysis; support vector machines; China; estimation model; evaluation index; heat harm; learning samples; mine; support vector machine regression analysis; thermal environment; Heating; Humidity; Orbits; Support vector machines; Temperature; Temperature measurement; Temperature sensors; evaluation; heat harm; support vector machine; thermal environment;
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
DOI :
10.1109/ICIC.2011.62
