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Proceedings Paper

Research of neural network application in methane gas spectrum sensing system
Author(s): Meng-ran Zhou; Haiqing Zhang; Hongwei Wu; Gang Yu
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Paper Abstract

Laser spectroscopy combined with neural network approach is a new method of monitoring coal mine gas. This research analyses of gas concentration and predicts the process of modeling using BP neural network finds changes law of concentration, gives the various parameters settings of neural network. Experimental results show that, BP neural network for early warning of gas concentration is feasible. The study meets an online, real-time, fast agreement of China's Coal Mine Gas monitoring systems.

Paper Details

Date Published: 11 October 2010
PDF: 8 pages
Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76563J (11 October 2010); doi: 10.1117/12.864088
Show Author Affiliations
Meng-ran Zhou, Anhui Univ. of Science and Technology (China)
Haiqing Zhang, Anhui Univ. of Science and Technology (China)
Hongwei Wu, Anhui Univ. of Science and Technology (China)
Gang Yu, Anhui Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7656:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Jose M. Sasian; Libin Xiang; Sandy To, Editor(s)

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