Fault Fuzzy Rule Extraction from AC Motors by Neuro-fuzzy Models

2005 ◽  
pp. 1116-1123
Author(s):  
G. I. Sainz ◽  
R. García ◽  
M. J. Fuente
Keyword(s):  
Fuzzy Rule ◽  
Rule Extraction ◽  
Fuzzy Models ◽  
Ac Motors ◽  
Neuro Fuzzy

Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system

2005 ◽  
Vol 18 (7) ◽  
pp. 867-874 ◽  
Author(s):  
G.I. Sainz Palmero ◽  
J. Juez Santamaria ◽  
E.J. Moya de la Torre ◽  
J.R. Perán González
Keyword(s):  
Fault Detection ◽  
Fuzzy Rule ◽  
Rule Extraction ◽  
Fuzzy Art ◽  
Ac Motors ◽  
Neuro Fuzzy

Building Multi-Agent Systems With Reinforcement Hierarchical Neuro-Fuzzy Models

2016 ◽  
Author(s):  
Marcelo França Corrêa ◽  
Marley Vellasco ◽  
Karla Figueiredo
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Fuzzy Models ◽  
Neuro Fuzzy ◽  
Multi Agent

Artificial wavelet neural network and its application in neuro-fuzzy models

2008 ◽  
Vol 8 (4) ◽  
pp. 1463-1485 ◽  
Author(s):  
Ahmad Banakar ◽  
Mohammad Fazle Azeem
Keyword(s):  
Neural Network ◽  
Wavelet Neural Network ◽  
Fuzzy Models ◽  
Neuro Fuzzy

NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

1999 ◽  
Vol 08 (02) ◽  
pp. 119-135
Author(s):  
YAU-HWANG KUO ◽  
JANG-PONG HSU ◽  
MONG-FONG HORNG
Keyword(s):  
Retrieval System ◽  
Software Component ◽  
Software Components ◽  
Personalized Search ◽  
Component Retrieval ◽  
Reusable Software ◽  
Major Mechanism ◽  
Fuzzy Models ◽  
Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

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