Title :
A modified Hamming neural network
Author :
Lu, Wei ; Li, Zhijlan ; Shi, Bingxue
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
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;
Conference_Titel :
Solid-State and Integrated Circuit Technology, 1995 4th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3062-5
DOI :
10.1109/ICSICT.1995.503393
