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oai:gredos.usal.es:10366/1693322026-01-28T01:00:48Zcom_10366_4386com_10366_4349com_10366_3946com_10366_3823col_10366_4387

Vega Cruz, Pastora Isabel Fuente Aparicio, María Jesús de la Sainz, G. Vallejo Llamas, Pedro Martín 2026-01-27T08:57:36Z 2026-01-27T08:57:36Z 2003 P. Vega; M.J. Fuente; G. Sainz; P. Vallejo (2003). A comparative study of neural and fuzzy-neural networks to identify a real system. Neural network engineering experiences: Proceedings of the Eighth International Conference o Engineering Applications of Neural Networks (EANN'03), Universidad de Malaga, 8-10 Septiembre. Departamento de Ingeniería de Sistemas y Automática. Universidad de Málaga. ISBN: 84-930984-1-8. 84-930984-1-8 http://hdl.handle.net/10366/169332 Artículo/Comunicación al congreso internacional EANN'03. Universidad de Málaga, 8-10 Septiembre de 2003. Málaga. Spain. [EN]This paper treats a comparative study of neural networks and fuzzy neural networks used to model a complex biotechnological process: an activated sludge process taken from a real wastewater treatment plant. The neural networks used in this work are a multiplayer perceptron network and two recurrent neural networks: the Elman one and a neural network that represents the state space model. And other two fuzzy neural networks: the ANFIS network that calculates a Takagy-Sugeno type fuzzy logic system and a neurofuzzy system called FasArt, which is based on the Adaptive Resonance Theory (ART) but it also introduces fonnalisms from the fuzzy set theory. A comparative study of the five networks is carried out using real data collected fonn the plant in order to identify the dynamic behaviour ofthe sludge process in the wastewater plant. application/pdf eng Javier Fernández de Cañete and Dimitris Tsaptsinos. Dpt. de Ingeniería de Sistemas y Automática. Universidad de Málaga. Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Neural Networks Fuzzy-Neural Networks Systems Identification ANFIS network Takagi-Sugeno Neurofuzzy systems FASTART network Sludge process 1203 Ciencia de los ordenadores 1203.17 Informática 1203.04 Inteligencia Artificial 3305.30 Alcantarillado y depuración de Aguas A comparative study of neural and fuzzy-neural networks to identify a real system info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Neural network engineering experiences: Proceedings of the Eighth International Conference o Engineering Applications of Neural Networks (EANN'03), Universidad de Malaga, 8-10 Septiembre 200 207