Mathematical Formulation of a Type of Hierarchical Neurofuzzy System

Abstract. 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.

• Type: Journal
• Year: 2006
• Where: KES
• Authors: Omar Sánchez, Sixto Romero, Francisco J. Moreno, Miguel Ángel Vélez
• Keywords: Chromatic Characteristics, Cigar Classification, Error Backpropagation Method, Information Technology, KES 2006