Symbolic learning for pattern recognition

Laurent Mascarilla; Jacky Desachy

doi:10.1117/12.262903

Abstract

In the framework of an image interpretation system for automatic cartography based on remote sensing image classification improved by a photo interpreter knowledge, we developed a system based on neural networks which simultaneously produce fuzzy rules, with their linguistic approximation as well as final classification. This paper describes the succession of steps used with this aim in view. Particularly it investigates the application of mutual information criteria to simplify fuzzy rules.

Citation Download Citation

Laurent Mascarilla, Jacky Desachy, "Symbolic learning for pattern recognition", Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); doi: 10.1117/12.262903; https://doi.org/10.1117/12.262903

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