Mathematical Formulation of a Type of Hierarchical Neurofuzzy System
نویسندگان
چکیده
This paper presents a class of hierarchical fuzzy system applied to a cigar classification system. The weight, texture and chromatic characteristics are used to classify multiple cigars using a previous classification based on heuristic knowledge. In the adaptive part, a gradient descendent and error backpropagation method is applied for adjusting the parameters. A detailed description of the algorithm is addressed. Copyright c © 2005 IFAC.
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