DocumentCode :
3341981
Title :
CMOS current-mode outstar neural networks with long-period analog ratio memory
Author :
Lan, Jeng-Feng ; Wu, Chung-Yu
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
3
fYear :
1995
fDate :
30 Apr-3 May 1995
Firstpage :
1676
Abstract :
An on-chip learnable neural network called the outstar is implemented in CMOS current-mode circuits. The on-chip memory called the ratio memory can retain the stored ratio values. The outstar chip is fabricated and tested. It has shown that the storage time of the ratio memory can be as long as 5 minutes without refreshment. Moreover, the outstar can normalize the input pattern and enhance the contrast of the stored pattern within a long period. The application of the outstar in pattern classification has been demonstrated
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; analogue storage; image processing equipment; neural chips; pattern classification; pattern recognition equipment; CMOS current-mode circuits; current-mode neural networks; long-period analog ratio memory; onchip learnable neural network; onchip memory; outstar chip; pattern classification; stored pattern; Analog integrated circuits; Capacitors; Electronic mail; Equations; Laboratories; Mathematical model; Network-on-a-chip; Neural networks; Neurons; Pattern classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
Type :
conf
DOI :
10.1109/ISCAS.1995.523733
Filename :
523733
Link To Document :
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