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On the issue of learning weights from observations for fuzzy signatures

Mendis, B Sumudu; Gedeon, Tamas (Tom); Koczy, Lazlo

Description

We investigate the issue of obtaining weights, which are associated with aggregation in fuzzy signatures, from real world data, Our approach will provide a way to extract the relevance of lower levels to the higher levels of the hierarchical fuzzy signature structure. We also handle the non-differentiability of max-min aggregation functions for gradient based learning. A mathematically proved method, which is found in the literature to approximate the derivatives of max-min functions, has been...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Conference paper
URI: http://hdl.handle.net/1885/36828
Source: Proceedings of World Automation Conference 2006
DOI: 10.1109/WAC.2006.376058

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