Skip navigation
Skip navigation

On the issue of learning weights from observations for fuzzy signatures

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


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
Source: Proceedings of World Automation Conference 2006
DOI: 10.1109/WAC.2006.376058


File Description SizeFormat Image
01_Mendis_On_the_issue_of_learning_2006.pdf478.92 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator