State of the art of neuro-fuzzy systems and their applications to intelligent manufacturing and fault diagnosis

2002 ◽  
Author(s):  
M.M. Gupta
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Systems ◽  
State Of The Art ◽  
Intelligent Manufacturing ◽  
Neuro Fuzzy

A study on neuro-fuzzy systems for fault diagnosis

2000 ◽  
Vol 31 (11) ◽  
pp. 1441-1448 ◽  
Author(s):  
R. J. Patton ◽  
J. Chen ◽  
J. Chen
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Systems ◽  
Neuro Fuzzy

A Neuro-Fuzzy Approach to Detect Rumors in Online Social Networks

2020 ◽  
Vol 17 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L.D.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Fuzzy Systems ◽  
Input Data ◽  
State Of The Art ◽  
Fuzzy Rules ◽  
Fuzzy Classification ◽  
Fuzzy Approach ◽  
Neuro Fuzzy ◽  
Common Problems

Along with true information, rumors spread in online social networks (OSN) on an unprecedented scale. In recent days, rumor identification gains more interest among the researchers. Finding rumors also poses other critical challenges like noisy and imprecise input data, data sparsity, and unclear interpretations of the output. To address these issues, we propose a neuro-fuzzy classification approach called the neuro-fuzzy rumor detector (NFRD) to automatically identify the rumors in OSNs. NFRD quickly transforms the input to fuzzy rules which classify the rumor. Neural networks handle larger input data. Fuzzy systems are better in handling uncertainty and imprecision in input data by producing fuzzy rules that effectively eliminate the unclear inputs. NFRD also considers the semantic aspects of information to ensure better classification. The neuro-fuzzy approach addresses the most common problems such as uncertainty elimination, noise reduction, and quicker generalization. Experimental results show the proposed approach performs well against state-of-the-art rumor detecting techniques.

NEURO-FUZZY SYSTEMS APPLIED ON A FIXED-WING AIRCRAFT CONTROL

2019 ◽  
Author(s):  
Renata Bernardes ◽  
Bruno Luiz Pereira ◽  
Felipe Machini Malachias Marques ◽  
Roberto Mendes Finzi Neto
Keyword(s):  
Fuzzy Systems ◽  
Aircraft Control ◽  
Neuro Fuzzy
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