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Proceedings Paper

Fast global optimization fuzzy neural network and its application in data fusion
Author(s): Xinxing Yang; Licheng Jiao
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Paper Abstract

This paper presents a fuzzy-neural network with a fast global optimization algorithm and its application in the data fusion. The fuzzy-neural network is based on the global property of genetic algorithm and the high speed property of expectation maximization algorithm. Simulations results of its application show that this fuzzy-neural network is of robustness in the data fusion.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323599
Show Author Affiliations
Xinxing Yang, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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