A temporal neurofuzzy model for rule-based systems

Alpaslan, Ferda Nur
Bilen, E
Jain, L
This 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 medical diagnosis systems.
Citation Formats
F. N. Alpaslan, E. Bilen, and L. Jain, “A temporal neurofuzzy model for rule-based systems,” 1997, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53886.