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