Publication Type : Conference Paper
Thematic Areas : Amrita Center for Cybersecurity Systems and Networks
Publisher : Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM
Source : Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, Springer India, Volume 2, New Delhi (2015)
Url : http://dx.doi.org/10.1007/978-81-322-2208-8_50
Campus : Amritapuri
School : Centre for Cybersecurity Systems and Networks, School of Engineering
Center : Cyber Security
Department : cyber Security
Year : 2015
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.