Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1998.06a
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- Pages.740-749
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- 1998
Compression of Image Data Using Neural Networks based on Conjugate Gradient Algorithm and Dynamic Tunneling System
- Cho, Yong-Hyun (School of Electronics and Information Engineering Catholic Univ.) ;
- Kim, Weon-Ook (Yonam College of Engineering) ;
- Bang, Man-Sik (Departement of Electronics, Kyungsang Univ.) ;
- Kim, Young-il (Departement of Electronics, Kyungsang Univ.)
- Published : 1998.06.01
Abstract
This paper proposes compression of image data using neural networks based on conjugate gradient method and dynamic tunneling system. The conjugate gradient method is applied for high speed optimization .The dynamic tunneling algorithms, which is the deterministic method with tunneling phenomenon, is applied for global optimization. Converging to the local minima by using the conjugate gradient method, the new initial point for escaping the local minima is estimated by dynamic tunneling system. The proposed method has been applied the image data compression of 12