About this document
Machine Learning for Aerodynamic Design by ramanesh is a document available to read on EtoBox.
This document presents a machine learning-based framework for aerodynamic design optimization that enhances data efficiency by replacing traditional adjoint-based solvers with deep neural networks (DNN) and Gaussian processes (GP). The proposed method allows for accurate predictions of aerodynamic quantities while significantly reducing the number of high-fidelity function evaluations needed. The framework demonstrates improved performance in solving multiple optimization problems simultaneously, making it
- Author
- ramanesh
- Language
- EN