A comparative study between artificial neural network and linear regression for optimizing a hinged blade cross axis turbine

• Main Authors: Fernando, Arvin H., Marfori, Isidro Antonio V., Maglaya, Archie B.
• Format: text
• Published: Animo Repository 2016
• Subjects: Turbines—Blades; Turbines—Testing; Neural networks (Computer science); Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1919
• Institution: De La Salle University

In this paper a quantitative model was used to optimize the power output of a hinged blade cross axis turbine using different blade configuration. With the following parameters; number of blades, length of blades, thickness of blade, angle of blade, and foil shape. The data was collected on actual e...