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A temporal neurofuzzy model for rule-based systems
Date
1997-05-23
Author
Alpaslan, Ferda Nur
Bilen, E
Jain, L
Metadata
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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
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BibTeX
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.
