Sistemas neurodifusos

Clave: 04B4561


No. de horas: 72


Unidades de crédito:  8


Créditos SATCA: No disponible


Tipo de asignatura: Optativa


Fecha de elaboración: 2013-09-18



Objetivo general:


El alumno podrá llevar a cabo investigación y/o aplicación de las tecnologías de lógica difusa, redes neuronales y sistemas neurodifusos.


Temas:


  1. Lógica difusa.
  2. Redes neuronales.
  3. Sistemas neurodifusos.


Bibliografía:


[1]   Lefteri H. Tsoukalas, Robert E.Uhrig, Fuzzy and Neural Approaches in Engineering. Ed. John Wiley & Son,Inc., 1997.
[2]   J.-S. R. Jang, C.-T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, a computational approach to learningand Machine Intelligence, Ed. Prentice Hall, 1997.
[3]   R.Sepúlveda, O. Montiel, O. Castillo, P. Melin, Fundamentos de Lógica Difusa, Ed. ILCSA, 2002.
[4]   D. Driankov, H. Hellendoorm, M. Reinfrank, An Introduction to Fuzzy Control, Second Edition, Ed. SpringerVerlag. 1996.
[5]   John Yen and Reza Langari, Fuzzy Logic, Intelligence, Control, and Information, Ed. Prentice Hall 1999.
[6]   Simon Haykin, Neural Networks: Acomprehensive Foundation (2nd. Edition). Prentice Hall, 1998.
[7]   J. Wesley Hines, Fuzzy and Neural Appoaches in Engineering, MATLAB Supplement. Ed. John Wiley & Son, Inc.1998.
[8]   Simon O. Haykin. Neural Networks and Learning Machines (3rd Edition). Pearson, Prentice Hall, 2008.
[9]   M. N. Cirstea, A. Dinu, J.G. Khor, M. McCormick. Neural and Fuzzy Logic Control of Drives and Power Systems. Newnes,2002.