Title :
ADC neural modeling
Author :
Daponte, A.B. ; Grimaldi, D.
Abstract :
The paper deals with a neural network based approach for A/D converter modeling. This approach is initially developed with reference to an A/D converter mathematical model, allowing the neural modeling to be properly set-up. Subsequently, a neural model of a real A/D converter is identified and validated, highlighting the performance of the proposed approach in terms of ease of the model building and result accuracy
Keywords :
Artificial neural networks; Circuit simulation; Computer networks; Electronic mail; IEEE members; Industrial electronics; Industrial engineering; Mathematical model; Neural networks; System testing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
Conference_Location :
Waltham, MA, USA
Print_ISBN :
0-7803-2615-6
DOI :
10.1109/IMTC.1995.515424
