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.
Citation:
Adam E. Gaweda, Jacek M. Zurada, "Fuzzy Neural Network with Relational Fuzzy Rules," ijcnn, vol. 5, pp.5003, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000