Title :
Notice of Retraction
Based on Integrated Adaptive Fuzzy Neural Network Tolerance Analog Circuit Fault Diagnosis
Author :
Xuefeng Qin ; Baoru Han ; Shuang Chen
Author_Institution :
Dept. of Electron. Eng., Hainan Software Profession Inst., Qionghai, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Based on multiple input single output of adaptive fuzzy neural network, this paper design the integrated adaptive fuzzy neural network based on the Takagi-Sugeno type fuzzy rules, adopt a hybrid learning algorithm to train the network connection weights, optimize membership function. Simulation results verified the effectiveness and feasibility of this method.
Keywords :
analogue circuits; electronic engineering computing; fault diagnosis; fuzzy set theory; neural nets; Takagi-Sugeno type fuzzy rules; analog circuit fault diagnosis; hybrid learning; integrated adaptive fuzzy neural network tolerance; membership function; network connection weights; Adaptive systems; Analog circuits; Artificial neural networks; Fault diagnosis; Fuzzy neural networks; Neurons; Training;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
DOI :
10.1109/ICIECS.2010.5677750
