ON NEURAL NETWORKS FOR ANALOG-TO-DIGITAL CONVERSION

Authors
CHANDE V POONACHA PG
Citation
V. Chande et Pg. Poonacha, ON NEURAL NETWORKS FOR ANALOG-TO-DIGITAL CONVERSION, IEEE transactions on neural networks, 6(5), 1995, pp. 1269-1274
Citations number
10
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
6
Issue
5
Year of publication
1995
Pages
1269 - 1274
Database
ISI
SICI code
1045-9227(1995)6:5<1269:ONNFAC>2.0.ZU;2-8
Abstract
In this paper we compare analog to,digital conversion (ADC) delay in H opfield ADC and asymmetrical (lower triangular) neural network-based A DC due to Avitabile et al. It is shown that, although Hopfield ADC; ha s 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.