Research and Application of Compressed Air Prediction Based on the Wavelet Neural Network

Article Preview

Abstract:

The wavelet neural network (WNN) is presented in the paper which based on the features of wavelet analysis and artificial neural network, and applied to predict the application of compressed air for an enterprise. The result shows that the precision of this model is quite effective. The model , therefore can be use to industry.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2120-2124

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Lei LIU, Xue Guang SHHAO, Wen Sheng CAI, Yong JIANG, ZHONG Xiaopan. Prediction of the Atomic Electron Affinities Using a Wavelet Neural Network[J]. Chinese Chemical Letters, 1998, 9(2): 203-206.

Google Scholar

[2] Liu Jinyue, Zhu Baoling. Research on the Prediction Model of Total Agricultural Output Value based on Wavelet Neural Network, National Conference on Information Technology and Computer Science(CITCS2012): 898-901.

DOI: 10.2991/citcs.2012.72

Google Scholar

[3] Ji Tianjian, An Jingfeng, He Shenming, Li Chunlei. Depth prediction of rain water on road surface based on artificial neural network[J]. Transactions of Nanjing University of Aeronautics & Astronautics, 2006, 23(2): 115-119.

Google Scholar

[4] Xiao Fen, Gao Xieping. An Approach for Short-Term Prediction on Time Series from Parameter- Varying Systems[J]. Journal of Software, 2006, 17(5): 1042-1050.

DOI: 10.1360/jos171042

Google Scholar

[5] YANG Shuxia, LI Xiang, LI Ning, YANG Shangdong. Optimizing neural network forecast by immune algorithm[J].J. CENT. SOUTH UNIV. TECHNOL, 2006, 13(6): 573-576.

DOI: 10.1007/s11771-006-0090-9

Google Scholar

[6] ZHAO Xiang, XIAO Deyun. Fault Diagnosis of Nonlinear Systems Using Multistep Prediction[J]. CONTROLTHEORYANDAPPLICATIONS, 2000, 17(6): 803-808.

Google Scholar