Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Videos
Videos
Thesis submission
Thesis submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Contact us
Contact us
A temporal neurofuzzy model for rule-based systems
Date
1997-05-23
Author
Alpaslan, Ferda Nur
Bilen, E
Jain, L
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
4
views
0
downloads
Cite This
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
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
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.
