An Application Research on Adaptive Learning Algorithm in Image Recognition

Article Preview

Abstract:

This paper studies adaptive learning for diagnostic image recognition and expounds that adaptive resonance theory is utilized to achieve ART artificial neural network of self-stability and self-makeup for recognition, which meets the requirement of learning and adaption. In terms of the principle, an algorithm of self-stability and classifier learning is also provided.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

2947-2950

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Pal N R et al: IEEE Trans NN, Vol. 4 (1993), pp.549-557.

Google Scholar

[2] Allen F T et al: Neural Networks, Vol. 12 (1999), pp.519-526.

Google Scholar

[3] Mitchell M: New Scientist, Vol. 2 (1996).

Google Scholar

[4] Gabor D. Journal of the Institute of Electrical Engineers, Vol. 93 (1946), No. 26, p.429~457.

Google Scholar

[5] Field D J: Journal of the Optical Society of America A, Vol. 4 (1987), No. 12, p.2379~2394.

Google Scholar

[6] T.Y. Zhang and C.Y. Suen: Communication of the ACM, March, Vol. 27 (1984), No. 3, pp.236-239.

Google Scholar

[7] Haralick R M. Proceedings of the IEEE, Vol. 67 (1979), No. 5, p.1648~1656.

Google Scholar