Abstract
An adaptive wavelet networks algorithm for prediction of gas outburst is proposed in this paper. First, adaptive clustering algorithm is first used to determine initial parameters of wavelet network according to the results of the clustering. Then genetic algorithm and SVM-RFE is adopted to tune the structure of the wavelet network and adjust the network parameters to improve generalization performance. Finally, the simulation for prediction of gas outburst is discussed, and the result shows the validity of the proposed algorithm.
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References
Yu, Q.X.: Mine Gas Prevention and Control. China University of Mining and Technology Press, Xuzhou (1992)
Dang, J.J., Li, X.J., Zhu, R.Q.: Study on Abstracting Signal of Coal and Gas Outburst Prediction Based on Wavelet Analysis. Zhongzhou Coal 151, 6–7 (2008)
Luo, X.R., Yang, F., Kan, Y.T., Zhang, A.R.: Research on Real-Time Alarm Theory of Delayed Coal and Gas Outburst. Journal of China University of Mining and Technology 37, 163–166 (2008)
Fan, C.N., Li, K.K., Chan, W.L., Yu, W.Y., Zhang, Z.N.: Application of Wavelet Fuzzy Neural Network in Locating Single Line to Ground Fault (SLG) in Distribution Lines. Electrical Power and Energy Systems 29, 497–503 (2007)
Yang, F.S.: Wavelet Analysis and Application of Engineering. Science Press, Beijing (1999)
Eric, A., Rying, Griff, L.B., Jye-Chyi, L.: Focused Local Learning with Wavelet Neural Networks. IEEE Trans. on Neural Netw. 13, 304–320 (2002)
Lv, L.H.: Complex Industrial Systems Based on Wavelet Network and Robust Estimation Modeling Study. Zhejiang University (2001)
Xiao, D., Lin, J.G.: The RBF Neural Network Faces Recognition Based on Dynamic Clustering. In: Chinese Control and Decision Conference (CCDC 2008), pp. 3996–3999 (2008)
Kugarajah, T., Zhang, Q.: Multidimensional Wavelet Frames. IEEE Trans. Neural Netw. 6, 1552–1556 (1995)
Guyo, I., Weston, J.: Gene Selection for Cancer Classification Using Support Vector Machines. Machine Learning 46, 389–422 (2002)
Gerda, C., Christophe, C., Johan, V.K.: An Information Criterion for Variable Selection in Support Vector Machines. Journal of Machine Learning Research 9, 541–558 (2008)
Mao, Y.: The Research and Application of Feature Selection Methods Based on SVM PhD Thesis. Zhejiang University (2006)
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© 2009 Springer-Verlag Berlin Heidelberg
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Li, X. (2009). An Adaptive Wavelet Networks Algorithm for Prediction of Gas Delay Outburst. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_110
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DOI: https://doi.org/10.1007/978-3-642-01513-7_110
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01512-0
Online ISBN: 978-3-642-01513-7
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