The amount prediction of gas emitted via wavelet neural network with grey correlation analysis

The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-p...

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Bibliographic Details
Main Authors: Yumin Pan, Xiaoyu Zhang, Pengqian Xue
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Artificial neural networks
Correlation
gas emission quantity
grey relational grade
Neurons
predicting
Training
Wavelet analysis
wavelet neural network
Wavelet transforms
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Summary:The amount prediction of gas emitted from the mine is very important matter for safety which has been researched by means of all kinds of neural networks. In this paper, wavelet neutral network (WNN) was applied to the prediction system base on grey correlation analysis, which was used for the pre-processing of input and output data sequence. The test results obtained show that the new prediction system has faster convergence and more accurate prediction compared with those of no data pre-processing by grey correlation analyses.
ISSN:2157-9555
DOI:10.1109/ICNC.2010.5584624