Title :
A fuzzy neural hybrid system
Author :
Challoo, Rajab ; Clark, Duane A. ; McLauchlan, Robert A. ; Omar, S. Iqbal
Author_Institution :
Intelligent Control Syst. Lab., Texas A&M Univ., Kingsville, TX, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
This paper presents an architecture for a fuzzy neural hybrid system (FNHS). This architecture merges fuzzy logic and neural networks by replacing the rule-base of a typical fuzzy logic controller with a backpropagation neural network. A method is developed for calculating the errors needed to train the neural network. Simulation results are presented which show that the FNHS performs as well as or better than a conventional neural network. Other advantages of using this system are also presented
Keywords :
backpropagation; fuzzy control; fuzzy neural nets; neurocontrollers; backpropagation neural network; fuzzy logic controller; fuzzy neural hybrid system; Educational institutions; Equations; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Intelligent control; Intelligent systems; Laboratories; Neural networks;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374404
