Title :
A modular YLSI design of a CMOS Hamming network
Author :
Robinson, Moisés E Robinson ; Yoneda, Hideki ; Sanchez-Sinencio, Edgar
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The authors describe a modular VLSI approach for the design and implementation of an optimum classifier Hamming network. A practical combination of digital and analog circuits is proposed to implement the neural network. The network consists of a digital single-layer perceptron followed by an analog winner-take-all circuit. The size and number of exemplar patterns that can be stored in the network are ideally unlimited due to the modularity of the design
Keywords :
CMOS integrated circuits; VLSI; computerised pattern recognition; content-addressable storage; neural nets; CAM; CMOS Hamming network; analog winner-take-all circuit; content addressable memory; digital single-layer perceptron; modular YLSI design; neural network; optimum classifier; Analog circuits; Artificial neural networks; CADCAM; Computer aided manufacturing; Hamming distance; High definition video; Neural network hardware; Neural networks; Pattern matching; Random access memory;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176784
