KEYWORD |
Application of machine learning techniques to aerodynamic optimization of missile configurations
Thesis in external company
keywords MACHINE LEARNING, NUMERICAL MODELS AND METHODS, OPTIMIZATION, SCIENTIFIC COMPUTING
Reference persons STEFANO BERRONE
External reference persons Referente aziendale
Research Groups Analisi numerica e calcolo scientifico
Thesis type TESI CON STAGE AZIENDALE
Description The purpose of this Master's thesis proposal is to evaluate the applicability of techniques related to artificial intelligence, and in particular of machine learning applied to the field of aerodynamic shape optimization in the missile field.
Required skills Matlab, Numerical Methods, Fluid Dynamics and Aeordynamic, Basic notions in Machine Learning
Deadline 02/10/2020
PROPONI LA TUA CANDIDATURA