Implementation of Artificial Neural Network for the Fault Forecasting of Basic Gates

  • Nitin N. Mandaogade, Prashant V. Ingole
Keywords: Fault Diagnosis, Soft Computing, Circuit Under Test (CUT), Fault Tree Analysis (FTA), CAD Tools.

Abstract

The present research work essentially emphasizes on implementation of fault diagnosis system for logical AND and logical OR gates using fundamentals of Neural Network. The present work is realized using perceptron and threshold elements modelling with neuron output functions. For the fault finding, the converged values of the weights are verified with the truth table of the individual logic gate. Further, the fault forecasting for these basic gates have been delineated by using artificial neural network

Published
2021-10-21
How to Cite
Prashant V. Ingole, N. N. M. (2021). Implementation of Artificial Neural Network for the Fault Forecasting of Basic Gates. Design Engineering, 6052-6071. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/5567
Section
Articles