Abstract
A Neuro-Fuzzy Network (NFN) is proposed, combining the merits of Artificial Neural Networks and Fuzzy Logic Systems. Most specifically, prior knowledge can be embedded in the synaptic weights of the NFN, speeding up the convergence.This NFN can be used for rule extraction or for identification and control of nonlinear dynamical systems.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cybenko G.: Approximation by Superposition of a single function. J. Math. of Control, Signal and Systems, 2, 1989.
Glorennec P.Y.: Un réseau neuro-flou évolutif. Proc. of 4th Int. Conf. on Neural Networks and their Applications, Nîmes, nov. 1991 (in french).
Glorennec P.Y.: A Neuro-Fuzzy Controller Designed for Implementation on a Neural Chip. Proc. of Iizuka'92, july 92.
Hayashi Y., Czogala E., Buckley J.: Fuzzy Neural Controller. Proc. of FUZZ-IEEE'92, San Diego.
Horikawa S-I., Furuhashi T., Okuma S., UCHIKAWA Y.: A Fuzzy Controller Using a Neural Network. Proc. of Iizuka'90, july 90.
Jang J-S.: Rule extraction by Generalized Neural Network. Proc. of 4th IFSA Congress, Brussel, July 1991.
Jordan M.I., Rumelhart D.E.: Forward Models: Supervised Learning with a Distal Teacher. MIT Center occasional paper 40.
Keller J., Yager R., Tahani H.: Neural Network Implementation of Fuzzy Logic. Fuzzy Sets and Systems 45, no 1, jan. 92
Kosko B.: Neural Networks and Fuzzy Logic. Prentice-Hall International Editions, IBSN:0-13-612334-1
Lin C-T., Lee C.C.: Neural-Network-Based Fuzzy Logic Control and Decision System. IEEE Trans. on Computers, 20 no. 12, dec. 1991.
Martinez J.M., Houkari M., Parey C., Barret C.: La rétropropagation sous l'angle de la théorie du contrôle. Proc. of 4th Int. Conf. on Neural Networks and their Applications, Nîmes, nov. 1991
Narendra K., Parthasarathy K.: Identification and Control of Dynamical Systems using Neural Networks. IEEE trans. on Neural Networks, 1 no. 1, march 90.
Nomura H., HAYASHI I., WAKAMI N.: A Self-tuning Method of Fuzzy Control by Descent Method. Proc. of 4th IFSA Congress, Brussel, july 1991.
Sontag E., Sussmann H.: BackPropagation can give rise to spurious local minima. Complex Systems 3 (1989), 91–106.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag
About this paper
Cite this paper
Glorennec, P.Y., Barret, C., Brunet, M. (1993). Application of Neuro-Fuzzy Networks to the identification and control of nonlinear dynamical systems. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_72
Download citation
DOI: https://doi.org/10.1007/3-540-56735-6_72
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56735-6
Online ISBN: 978-3-540-47643-6
eBook Packages: Springer Book Archive