doi: 10.7763/IJMLC.2012.V2.253
Factor Analysis Using Two Stages Neural Network Architecture
Sandeep Kumar1
,
Deepak Kumar1 ,
Rashid Ali2
- 1Tata Consultancy Services Limted, Pune India.
- 2Aligarh Muslim University. Uttar Pradesh,Aligarh India.
Abstract
Factor Analysis is the process of finding a suitable representation of the data in terms of lesser number of variables. There are a number of application areas where factor analysis is widely used e.g. signal processing, statistics, stock marketing, forecasting, approximation, compression, security, medical sciences etc. In this paper we will show that a very effective factor analysis scheme can be developed using a feed forward neural network. Our approach has the advantage of being able to analyze very large data sets while preserving the nature of the data.
Keywords
- Factor analysis
- neural network
- BPN
- learning
- information gain
How to Cite
Sandeep Kumar, Deepak Kumar, and Rashid Ali, "Factor Analysis Using Two Stages Neural Network Architecture," International Journal of Machine Learning, vol. 2, no. 6, pp. 860-863, 2012. https://doi.org/10.7763/IJMLC.2012.V2.253
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).