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.
Index Terms—Factor analysis, neural network, BPN, learning, information gain.
Sandeep Kumar and Deepak Kumar are with the Tata Consultancy Services Limted, Pune India (e-mail: email@example.com; firstname.lastname@example.org).
Rashid Ali is with the Aligarh Muslim University. Uttar Pradesh,Aligarh India (e-mail: email@example.com).
Cite:Sandeep Kumar, Deepak Kumar, and Rashid Ali, "Factor Analysis Using Two Stages Neural Network Architecture," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 860-863, 2012.