Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method
We previously introduced the generalized Weighted Relevance Aggregation Operators (WRAO) for hierarchical fuzzy signatures. WRAO enhances the ability of the fuzzy signature model to adapt to different applications and simplifies the learning of fuzzy signature models from data. In this paper we overcome the practical issues which occur when learning WRAO from data. This paper discuss an algorithm for learning WRAO using the Levenberg-Marquardt (LM) method, which is one of the most sophisticated...[Show more]
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|Source:||Proceedings of International Conference on Hybrid Intelligence Systems (HIS 2006)|
|01_Mendis_Learning_Generalized_Weighted_2006.pdf||371.27 kB||Adobe PDF||Request a copy|
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