DocumentCode
393853
Title
A neural network model using finite physical quantities and its realization on LSIs
Author
Watanabe, Minoru ; Kobayashi, Fuminori
Author_Institution
Dept. of Control Eng. & Sci., Kyushu Inst. of Technol., Japan
Volume
3
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
1863
Abstract
A CMOS circuit for a finite physical quantities neural network model is proposed. The circuit can precisely express the movement of the finite physical quantities and quickly execute the enormous iterative calculations in the finite physical quantities model. This paper presents a HSPICE simulation result for pattern recognition and estimation of the circuit.
Keywords
CMOS analogue integrated circuits; SPICE; VLSI; neural chips; pattern recognition; CMOS analog VLSI; CMOS circuit; HSPICE simulation; LSI; circuit estimation; finite physical quantities; neural network model; pattern recognition; Artificial neural networks; Capacitors; Circuit simulation; Equations; Fires; Large scale integration; Neural networks; Neurons; Pattern recognition; Semiconductor device modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1196607
Filename
1196607
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