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Title On neural networks for analog-to-digital conversion
 
Names CHANDE, V
POONACHA, PG
Date Issued 1995 (iso8601)
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. 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.
Genre Note
Identifier IEEE TRANSACTIONS ON NEURAL NETWORKS,6(5)1269-1274