DocumentCode
1144775
Title
On neural networks for analog to digital conversion
Author
Chande, Vinay ; Poonacha, P.G.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
Volume
6
Issue
5
fYear
1995
fDate
9/1/1995 12:00:00 AM
Firstpage
1269
Lastpage
1274
Abstract
In this paper we compare analog to digital conversion (ADC) delay in Hopfield ADC and asymmetrical (lower triangular) neural network-based ADC due to Avitabile et al. (1991). It is shown that, although Hopfield ADC has extensive feedback, its behavior in asynchronous mode is similar to that of lower triangular ADC. It is also shown that any constant delay n-bit feedforward ADC must have an exponential number of neurons
Keywords
analogue-digital conversion; delays; feedback; neural nets; Hopfield ADC; analog-to-digital conversion; asymmetrical neural-network-based ADC; asynchronous mode; delay; feedback; lower triangular neural-network-based ADC; neural networks; Analog-digital conversion; Delay; Differential equations; Feedforward neural networks; Hopfield neural networks; Neural networks; Neurofeedback; Neurons; Symmetric matrices;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.410371
Filename
410371
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