2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512)
DOI: 10.1109/iscas.2004.1329933
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Design and sensitivity analysis of feed-forward neural ADC's

Abstract: In this paper, a one-layer and a two-layer Gray-coded feed-forward neural ADC with soft-limiting activation functions are introduced. The use of soft-limiting activation functions results in reduction of the total number of neurons, but at the same time it increases the sensitivity to various errors. The required number of bits for training the network derived from sensitivity analysis. A design example is also presented.

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Cited by 3 publications
(1 citation statement)
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“…Therefore, folding ADC needs an additional bit synchronization block [4]. In a folding analog-to-digital converter comparator and encoder are main parts and consume much of the total power [5] [6], so it is quite necessary to save comparators and simplify the logic design of the encoder to reduce power dissipation. In this paper, a special low-power CMOS folding and interpolating ADC is designed.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, folding ADC needs an additional bit synchronization block [4]. In a folding analog-to-digital converter comparator and encoder are main parts and consume much of the total power [5] [6], so it is quite necessary to save comparators and simplify the logic design of the encoder to reduce power dissipation. In this paper, a special low-power CMOS folding and interpolating ADC is designed.…”
Section: Introductionmentioning
confidence: 99%