Abstract
The thesis adopts gray correlation analysis methods, counting the country’s coal mine safety data, taking the provinces (cities) as the basic unit, to identify the key impacting factors of death rate per million-ton coal by comparing and analyzing the samples of death rate per million-ton coal in different years. And it establishes the streamlined and reasonable predictor index system of death rate per million-ton coal.
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Acknowledgments
This work is supported by Anhui Provincial Natural Science Foundation of Universities Key Projects (Grant No. KJ2010A083), the Natural Science Foundation of the Anhui Higher Education Institutions of China (KJ2012A099), and is also supported by the National Natural Science Foundation of China (Grant No. 51174257).
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Zhou, H., Sun, K., Xiong, B. (2013). Study of the Predictor Index System of Death Rate per Million-Ton Coal Based on Gray Relation. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_121
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DOI: https://doi.org/10.1007/978-3-642-37502-6_121
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