Analog CMOS current-mode implementation of the feedforward neural network with on-chip learning and storage

Jeng Feng Lan*, Chung-Yu Wu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

Based on the outstar structure and the ratio memos, a feedforward Hamming neural network with on-chip learning and storage is designed in CMOS current-mode circuit. The implemented feedforward net can be used as a pattern classifier. The chip of the feedforward Hamming net has been fabricated by 0.8 μm double-poly double-metal n-well CMOS process. The experimental results have been shown that the ratio memory has the contrast enhancement characteristic. Also, the classifier can recognize the distorted pattern which is darken, brighten, level-shifted, or noisy of the exemplar pattern with gray level recognition capability.

Original languageEnglish
Pages645-650
Number of pages6
StatePublished - 1 Dec 1995
EventProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
Duration: 27 Nov 19951 Dec 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
CityPerth, Aust
Period27/11/951/12/95

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