Publication Type:

Conference Paper

Source:

Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, Springer India, Volume 2, New Delhi (2015)

ISBN:

9788132222088

URL:

http://dx.doi.org/10.1007/978-81-322-2208-8_50

Abstract:

This project attempts to predict the scaled sound pressure levels in decibels, based on the aerodynamic and acoustic related attributes. Each attribute can be regarded as a potential feature. The problem is how to predict the sound pressure level accurately based on those features. This paper describes the approaches of using linear regression models and other optimization algorithms used for the better predictions. The comparative results and analysis are also provided in experiment and results section.

Cite this Research Publication

Shiju Sathyadevan and Chaitra, M. A., “Airfoil Self Noise Prediction Using Linear Regression Approach”, in Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, New Delhi, 2015, vol. 2.