DocumentCode :
288565
Title :
A CMOS VLSI analog current-mode high-speed ART1 chip
Author :
Serrano, T. ; Linares-Barranco, B. ; Huertas, J.L.
Author_Institution :
Dept. of Analog Design, Nat. Microelectron. Center, Sevilla, Spain
Volume :
3
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
1912
Abstract :
Presents a real time neural categorizer chip based on the ART1 algorithm. The circuit implements a modified version of the original ART1 algorithm more suitable for VLSI implementations. It has been designed using analog current-mode circuit design techniques, and consists basically of current mirrors that are switched on and off according to the binary input patterns. The chip is able to cluster 100 binary pixels input patterns into up to 18 different categories. Modular expandability of the system is possible by simply interconnecting more chips in a matrix array. This way a system can be built to cluster N×100 binary pixels images into M×18 different clusters, using an N×M array of chips. Average pattern classification is performed in less than 1 μs, which means an equivalent computing power of 1.8×109 connections per second. The chip has been fabricated in a single-poly double-metal 1.5 μm standard digital low cost CMOS process, has a die area of 1 cm2, and is mounted in a 120 pins PGA package
Keywords :
ART neural nets; CMOS analogue integrated circuits; analogue processing circuits; neural chips; pattern classification; 120 pins PGA package; CMOS VLSI analog current-mode high-speed ART1 chip; analog current-mode circuit design techniques; binary input patterns; current mirrors; modular expandability; pattern classification; real time neural categorizer chip; single-poly double-metal 1.5 μm standard digital low cost CMOS process; Clustering algorithms; Costs; Current mode circuits; Integrated circuit interconnections; Mirrors; Pattern classification; Pixel; Power system interconnection; Switching circuits; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374452
Filename :
374452
Link To Document :
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