Application of artificial neural networks with backpropagation technique in the financial data

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Jaiswal, Jitendra Kumar^1 ; Das, Raja^1

Department of Mathematics, School of Advance Sciences, VIT University, Vellore

632014, India^1

关键词: Backpropagation techniques;    Computing system;    Data patterns;    Financial data;    Multiple disciplines;    Pattern recognition and classification;    Research activities;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042139/pdf
DOI  :  10.1088/1757-899X/263/4/042139

来源: IOP

【 摘 要 】

The propensity of applying neural networks has been proliferated in multiple disciplines for research activities since the past recent decades because of its powerful control with regulatory parameters for pattern recognition and classification. It is also being widely applied for forecasting in the numerous divisions. Since financial data have been readily available due to the involvement of computers and computing systems in the stock market premises throughout the world, researchers have also developed numerous techniques and algorithms to analyze the data from this sector. In this paper we have applied neural network with backpropagation technique to find the data pattern from finance section and prediction for stock values as well.