DocumentCode
1836461
Title
A modified Hamming neural network
Author
Lu, Wei ; Li, Zhijlan ; Shi, Bingxue
Author_Institution
Inst. of Microelectron., Tsinghua Univ., Beijing, China
fYear
1995
fDate
24-28 Oct 1995
Firstpage
694
Lastpage
696
Abstract
A modified Hamming neural network and its integrated circuit model are presented. The network consists of a template matching circuit and a “Winner-Take-All” (WTA) circuit. Simulation shows that it has high precision, high speed and low power dissipation. It can be used to recognize handwritten digits
Keywords
MOS analogue integrated circuits; SPICE; analogue processing circuits; character recognition; circuit analysis computing; neural chips; PSPICE; current mode analog circuit; handwritten digit recognition; high precision; high speed; image pattern recognition; integrated circuit model; low power dissipation; modified Hamming neural network; pseudo NMOS circuit; simulation; template matching circuit; winner-take-all circuit; Artificial neural networks; Biological neural networks; Biological system modeling; Computational modeling; Impedance matching; Integrated circuit modeling; Mirrors; Neural networks; Neurons; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Solid-State and Integrated Circuit Technology, 1995 4th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-3062-5
Type
conf
DOI
10.1109/ICSICT.1995.503393
Filename
503393
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