A Review on Prediction of EDM Parameters using Artificial Neural Network

ANNs can identify and learn correlated patterns between input data sets and corresponding target values. After training, ANNs can be used to predict the outcome of new independent input data. Interest in using Artificial Neural Networks (ANNs) for forecasting has led to a tremendous surge in research activities in the past decade. While ANNs provide a great deal of promise, they also embody much uncertainty. Researchers to date are still not certain about the effect of key factors on forecasting performance of ANNs. This paper presents a Literature survey of ANN applications in forecasting of EDM parameters which controls the MRR, TWR, Surface Roughness, Radial overcut etc.