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2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95)
Fuzzy Hardware Synthesis with Generic LR Fuzzy Cells
Dunedin, New Zealand
November 20-November 23
ISBN: 0-8186-7174-2
ASCII Text
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Chao-Lieh Chen, Yau-Hwang Kuo, "Fuzzy Hardware Synthesis with Generic LR Fuzzy Cells," Artificial Neural Networks and Expert Systems, New Zealand Conference, pp. 128, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995.
 
 
BibTex
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@article{ 10.1109/ANNES.1995.499456,
author = {Chao-Lieh Chen and Yau-Hwang Kuo},
title = {Fuzzy Hardware Synthesis with Generic LR Fuzzy Cells},
journal ={Artificial Neural Networks and Expert Systems, New Zealand Conference},
volume = {0},
year = {1995},
isbn = {0-8186-7174-2},
pages = {128},
doi = {http://doi.ieeecomputersociety.org/10.1109/ANNES.1995.499456},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Artificial Neural Networks and Expert Systems, New Zealand Conference
TI - Fuzzy Hardware Synthesis with Generic LR Fuzzy Cells
SN - 0-8186-7174-2
SP
EP
A1 - Chao-Lieh Chen,
A1 - Yau-Hwang Kuo,
PY - 1995
KW - generic LR fuzzy cell
KW - fuzzy reasoning
KW - parallel inference
KW - fuzzy ASICs
KW - general-purposed fuzzy processors
KW - current mode analog technology
VL - 0
JA - Artificial Neural Networks and Expert Systems, New Zealand Conference
ER -
 
Chao-Lieh Chen, National Cheng Kung University
Yau-Hwang Kuo, National Cheng Kung University
A novel primitive cell structure, called LR fuzzy cell for hardware realization of fuzzy reasoning or other fuzzy computations is proposed in this paper. An LR fuzzy cell is an integral unit encapsulating an LR fuzzy set and a basic fuzzy operation like implication or arithmetic operation. By the LR fuzzy cells, we can synthesize high-performance fuzzy systems including fuzzy ASICs and general-purposed fuzzy processors in a fast and systematic way. The synthesized fuzzy systems inherently possess parallel inference ability. The system expandability and modifibility are also warrantable. The proposed generic LR fuzzy cells are implemented with current mode analog technology. By this technology, a fuzzy processor design based on this cell structure possesses the characteristics including small circuit area, high performance, low power dissipation, etc.
Index Terms:
generic LR fuzzy cell, fuzzy reasoning, parallel inference, fuzzy ASICs, general-purposed fuzzy processors, current mode analog technology
Citation:
Chao-Lieh Chen, Yau-Hwang Kuo, "Fuzzy Hardware Synthesis with Generic LR Fuzzy Cells," annes, pp.128, 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995
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