Title :
Fuzzy neural network with relational fuzzy rules
Author :
Gaweda, Adam E. ; Zurada, Jacek M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisville Univ., KY, USA
Abstract :
The paper presents a fuzzy neural network whose structure accounts for relations between input variables of the system under consideration. This modification results in a simple fuzzy model with improved approximation accuracy. An example of nonlinear time series prediction using the proposed fuzzy neural network is also included
Keywords :
fuzzy neural nets; time series; fuzzy model; fuzzy neural network; nonlinear time series prediction; relational fuzzy rules; Covariance matrix; Electronic mail; Explosions; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Input variables; Partitioning algorithms; Performance analysis; Unsupervised learning;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861426
