Study on Data Security Technology of Neural Network System

Abstract:

This paper analyzes the neural network algorithm model, introduces the basic principles and training process of BP neural network algorithm, analyzes the BP neural network weights adjustment processand the method of determining the number of nodes in each layer; in improved protocol algorithm basis LEACH-E, combined with the BP neural network algorithm, we propose a new data fusion algorithm BPDFA to reduce energy consumption to attain the network lifetime goal.

• Periodical: Applied Mechanics and Materials (Volumes 701-702)
• Pages: 1041-1044
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.701-702.1041
• Online since: December 2014
• Authors: Yan Wei Hong*
• Keywords: Data Fusion, Network Algorithm, Neural Network, Predictive Algorithm

References

[1] P. Chatziagorakis, G. C. Sirakoulis: Microprocessors and Microsystems, Vol. 36 (2012), pp.33-44.

[2] Z. Ahmad, J. Zhang: Computers & Chemical Engineering, Vol. 30 (2005), pp.295-308.

[3] A. C. Turlapaty, V. G. Anantharaj: Pattern Recognition Letters, Vol. 31 (2010), pp.1184-1200.

[4] N. Ghosh, Y.B. Ravi, A. Patra: Mechanical Systems and Signal Processing, Vol. 21 (2007), pp.466-479.

[5] O. Parsons, G. A. Carpenter: Neural Networks, Vol. 16 (2003), pp.1075-1089.

[6] D. Leite, P. Costa, F. Gomide: Neural Networks, Vol. 38 (2013), pp.1-16.

[7] S. S. Chiddarwar: Engineering Applications of Artificial Intelligence, Vol. 23 (2010), pp.1083-1092.

[8] R. J. Wai: IEEE Transactions System, Man, and Cybernetics, Vol. 38 (2008), pp.1326-1346.