Regularized Artificial Neural Network for Financial Data

The paper deals with the application of artificial neural network on financial data. We applied different activation functions in hidden layer with regularization to overcome the problem of overfitting. We present a comparative analysis of all combinations of activation functions and regularizations applied on BSE Sensex and Nifty 50 dataset containing the stock indices of last 7 years.