This paper describes a neurofuzzy-based approach to automatically classify publicly accessible World Wide Web sites. The suggested methodology appears most relevant investigating corporate Web sites for advertising and customer support purposes but is equally valuable for analysing the hypertext structures of educational or non-profit organisations. Future efforts will focus on extending the fr...

En el bombeo mecánico de petróleo, para minimizar los costos operativos y maximizar la producción, es esencial identificar problemas forma rápida precisa. El dinagrama fondo pozo decisivo analizar las condiciones trabajo del sistema bombeo, normalmente diagnóstico fallas se ha basado en interpretación visual su forma, por un experto humano. Se presenta una arquitectura (NeFSuckerRod) automático...

Motivated by the research works in adaptive observers, this paper presents a structure for black-box identification based on state-space recurrent neural networks for a class of dynamic nonlinear systems in discrete-time. The proposed network catches the dynamics of the unknown plant by generating state estimates of a network and jointly identifying its parameters using only output measurements...

Adaptability in non-stationary contexts is a very important property and a constant desire for modern intelligent systems and is usually associated with dynamic system behaviors. In this framework, we present a novel methodology of dynamic resource control and optimization for neurofuzzy inference systems. Our approach involves a neurofuzzy model with structural learning capabilities that adds ...

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 a...

This paper addresses the control of a penicillin fermentation pilot plant using IMC strategies with modules based on FasArt neurofuzzy system. FasArt features fast stable learning and shows good MIMO identification, which makes it suitable for development of the modules in IMC. Experiments have been done training FasArt on real data and applying the controller to the pilot plant, and show that ...