The paper deals with a neural network-based approach for A/D converter
(ADC) modeling, This approach is initially developed with reference t
o an ADC mathematical model, allowing the neural modeling to be proper
ly set up, Subsequently, a neural model of a real ADC is identified an
d validated, highlighting the performance of the proposed approach in
terms of ease of model building and result accuracy.