A Neural Learning on Indian Manufacturing Sector in Prognosticating Bankruptcy

Abstract

Bankruptcy is a menacing situation, which the investors, businesses, and the economy are afraid of, due to its adverse effects. Prediction of bankruptcy can help the investors and businesses in formulating their strategies in order to improve their profits or at least avoid losses. Researchers around the world use different types of prediction methods and models. One of the promising and accurate methods for prediction is ANN or Artificial Neural Network. ANN resembles the neural network in our brain. So this study focuses on using the different variables of ROA, ROE to predict the bankruptcy of manufacturing sectors using Artificial Neural Network.