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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
An Implementation of the Neuro-fuzzy Inference Circuit
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Kuniaki Fujimoto, Hirofumi Sasaki, Yoichiro Masaoka, Ren-Qi Yang, Masaharu Mizumoto, "An Implementation of the Neuro-fuzzy Inference Circuit," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 301-304, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.232,
author = {Kuniaki Fujimoto and Hirofumi Sasaki and Yoichiro Masaoka and Ren-Qi Yang and Masaharu Mizumoto},
title = {An Implementation of the Neuro-fuzzy Inference Circuit},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {301-304},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.232},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - An Implementation of the Neuro-fuzzy Inference Circuit
SN - 0-7695-2616-0
SP301
EP304
A1 - Kuniaki Fujimoto,
A1 - Hirofumi Sasaki,
A1 - Yoichiro Masaoka,
A1 - Ren-Qi Yang,
A1 - Masaharu Mizumoto,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Kuniaki Fujimoto, Kyushu Tokai University, Japan
Hirofumi Sasaki, Kyushu Tokai University, Japan
Yoichiro Masaoka, Kyushu Tokai University, Japan
Ren-Qi Yang, Kyushu Tokai University, Japan
Masaharu Mizumoto, Osaka Electro-Communication University, Japan
In this paper, we propose a neuro-fuzzy inference circuit suitable for real-time learning application. We could confirm through our experiment used of FPGA that the circuit can realize a high speed tuning of inference rules first by doing the parallel processing of the operations.. and then by fixing the membership functions of the antecedent part.
Citation:
Kuniaki Fujimoto, Hirofumi Sasaki, Yoichiro Masaoka, Ren-Qi Yang, Masaharu Mizumoto, "An Implementation of the Neuro-fuzzy Inference Circuit," icicic, vol. 2, pp.301-304, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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