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
fDate :
9/1/1995 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
