A temporal neurofuzzy model for rule-based systems

Date

1997-05-23

Author

Alpaslan, Ferda Nur
Bilen, E
Jain, L

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Artificial neural networks, Backpropagation algorithm, Temporal information, Fuzzy logic

URI

https://hdl.handle.net/11511/53886

Collections

Department of Computer Engineering, Conference / Seminar