Skip to main navigation
Skip to search
Skip to main content
Experts@Syracuse Home
Help & FAQ
Home
Profiles
Research units
Equipment
Grants
Research output
Activities
Press and Media
Prizes
Search by expertise, name or affiliation
Recurrent neuro-fuzzy systems
Can Isik
, Mohammad Farrokhi
Department of Electrical Engineering & Computer Science
Research output
:
Chapter in Book/Entry/Poem
›
Conference contribution
6
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Recurrent neuro-fuzzy systems'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering & Materials Science
Fuzzy systems
100%
Inference engines
30%
Recurrent neural networks
24%
Robots
15%