A novel approach for noise prediction using Neural network trained with an efficient optimization technique

A novel approach for noise prediction using Neural network trained with an efficient optimization technique

Blog Article

Aerofoil noise as self-noise is detrimental to system performance, in this paper NACA 0012 optimization parameters are presented for reduction in noise.Designing an aerofoil with little noise is a fundamental objective of designing an aircraft that physically and functionally meets the requirements.Aerofoil self-noise is the noise created by aerofoils interacting with their boundary layers.Using neural networks, the envox stock suggested method predicts aerofoil self-noise.

For parameter optimization, the quasi-Newtonian method is utilised.The input variables, such as angle of attack and chord length, are used as training parameters for neural networks.The output of a neural network is the sound pressure level, and the Quasi Newton method further optimises these parameters.When compared to the results of regression analysis, the values produced after maison alhambra libbra training a neural network are enhanced.