Improved back-propagation algorithm applied to target recognition

Yi Ge; Zhenhua Li; Li Zhang; Anzhi He; Ai-ming Lu

doi:10.1117/12.263055

31 December 1996 Improved back-propagation algorithm applied to target recognition

Yi Ge, Zhenhua Li, Li Zhang, Anzhi He, Ai-ming Lu

Author Affiliations +

Proceedings Volume 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96); (1996) https://doi.org/10.1117/12.263055
Event: International Conference on Holography and Optical Information Processing, 1996, Nanjing, China

Abstract

Despite of its slow learning time, back-propagation (BP) is one of the most widely used neural network training algorithms. In this paper, a nonlinear stretch method is presented that modifies the nonlinear activation function of BP algorithm to speed up the convergence. A invariant target recognition system based on BP neural network using this method and moment invariants is studied. Simulative recognitions on aircrafts and vehicles show that the speed of convergence is increased effectively.

Citation Download Citation

Yi Ge, Zhenhua Li, Li Zhang, Anzhi He, and Ai-ming Lu "Improved back-propagation algorithm applied to target recognition", Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); https://doi.org/10.1117/12.263055

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