An Image Recognition Method Based on Ant Colony Optimization Neural Network Using in Imaging Fuze

Abstract:

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Target image recognition is an important issue in the information processing of imaging fuse system. In the paper, the main frame is proposed which can solve the problem of target image recognition and many computer simulation experiments are carried out. A recognition algorithm based on ant colony optimization and neural network is proposed. It overcomes the shortcomings of traditional BP algorithm and converges fast. The results of experiments prove that the presented algorithm can shorten the training time effectively and increase the accuracy of recognition, so it is very useful in improving the effective destroying ability of the missile.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

1886-1890

DOI:

10.4028/www.scientific.net/AMM.121-126.1886

Citation:

K. Y. Wang and S. K. Xing, "An Image Recognition Method Based on Ant Colony Optimization Neural Network Using in Imaging Fuze", Applied Mechanics and Materials, Vols. 121-126, pp. 1886-1890, 2012

Online since:

October 2011

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Price:

$35.00

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