Artificial Neural Network for Prediction of Data by Recurrent Neural Network Model

International Journal of Research and Scientific Innovation (IJRSI) | Volume VI, Issue V, May 2019 | ISSN 2321–2705

Artificial Neural Network for Prediction of Data by Recurrent Neural Network Model

Arpitha K Shetty¹, Pratheksha Rai N², Bhargavi K³

^{1, 2}Assistant Professor, A.J Institute of Engineering and Technology, Kottara Chowki, Mangalore, Karnataka, India
³Assistant Professor, Krupanidhi Degree College, Bengaluru, Karnataka, India

Abstract— Dollar rate prediction is a classification problem, which helps to forecast the next day dollar rate based on the history of dollar rate. The motivation for this work is that the prediction of dollar rate which helps the untrained traders to make decisions. The technical analysts trace the patterns that archived by study of charts and graphs to predict the future dollar rate. The advantage of using neural network is that it will predict the future even in the presence of hidden data. The proposed work is to forecast the dollar rate series data for various applications by using neural network. The dollar rate prediction using Recurrent Neural Network (RNN) is proposed. The dollar rate prediction problem is built by using the mathematical operations, so that this project is implemented in R language.

Keywords— Data mining, Artificial neural network, Neural Network Training, Neural Network Testing, Recurrent Neural Network (RNN) model

I. INTRODUCTION

Predictive modelling create a mathematical model, which is used in the predictive analysis to Predict the future data. A predictive model is built by ‘n’ number of predicting models that helps to forecast the future. In financial marketing it is possible to predict the next day dollar rates based on the history of dollar rates. Predicting the dollar exchange rate is a complex task, due to consequences of unsystematic changes in behaviour of a dollar rate time series. Trading community uses different methods for prediction tasks. In recent years, the concept of neural networks has been an emerging technology among them. The Artificial Neural Network (ANN)is built based on association of human brain biological neuron system. Neuron systems are formed from trillions of neurons these will exchange succinct electrical pulses called action potentials. These biological structures are adopted to the computer algorithm formally called Artificial Neural Networks.

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