A temporal neurofuzzy model for rule-based systems
Ferda Nur Alpaslan, Ergun Bilen, Lakhmi C. Jain · 2002
The paper reports the development of a temporal neuro-fuzzy model using fuzzy reasoning which is capable of representing the temporal information. The system is implemented as a feedforward multilayer neural network. The learning algorithm is a modification of the backpropagation algorithm. The system is aimed to be used in a medical diagnosis systems.