The Neural Network Calculation Based on Proportional and Fuzzy Classification in Data Pretreatment

Article Preview

Abstract:

A new kind of proportional and fuzzy classification method has been proposed in the paper, Which can be applied in the data pretreatment of neural network calculation. It is showed that this new method can keep same convergent speed of training key point, It can improve predictive precision effectively and make the predictive results approach actual value.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1458-1462

Citation:

Online since:

January 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y. Shi L.Q. Han X.Q. Lian: Neural network design methods and case analysis.Beijing University of Posts and Telecommunications Press. Beijing(2009).

Google Scholar

[2] R. Venkatesan, B. Balamurugan. A real-time hardware fault detector using an artificial neural net work for distance protection. IEEE Transactions of Power Delivery, Vol. 16, No. 1(2001), pp.75-82.

DOI: 10.1109/61.905596

Google Scholar

[3] L.Y. Tian, L.H. Zhou. The study on the methods for predicting coal or gas outburst based on BP neural network. Systems Engineering-Theory & Practice, Vol. 12 (2005), pp.102-106.

Google Scholar

[4] J.J. Lu, H. Chen. Researching Development on BP Neural Networks. Control Engineering of China, Vol. 13, No. 5(2006), pp.449-451.

Google Scholar

[5] B.H. Qi, J.C. Zhang, C. Wang. Target recognition method based on combination of BP neural network and D_S evidence theory. Electronics Optics & Control, Vol. 15, No. 12(2008), pp.51-54.

Google Scholar