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ASME Press Select Proceedings

International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)

Editor
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
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W. B. Hu
W. B. Hu
Wuhan University
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ISBN:
9780791859742
No. of Pages:
656
Publisher:
ASME Press
Publication date:
2011

This paper analyzes gas concentration data from different angles (levels) through a variety of size for the characteristic of gas concentration time series data set based on quotient space theory. Meanwhile, we deal with the information by quotient space and neural network model, and propose a constructive neural network model, which combines the covering algorithm and BP neural network model. Experimental results show that the model is better than the traditional method by the coal gas data obtained from some coal gas.

Abstract
Keywords
Introduction
Quotient Space Theory
Grey Correlation Theory
Constructive Neural Networks
Prediction of Gas Concentration Based on Constructive Neural Network
Conclusion
Acknowledgments
References
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