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
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;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196607
