Figure 2.Flow Chart for Data preprocessing & Training-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning

Methodology
This paper develops an ANN based comparative predictive model for NASDAQ stock
prediction. The first ANN model is developed with Multi-Layer Feed forward Network
Architecture & the second model is developed with Recurrent Neural Network Architecture. In this
paper gradient descent based back propagation learning algorithm is used for the supervised
learning of the predictive network.