SS05 – Special Session on Soft computing and machine learning in non-linear dynamical systems and fluid dynamics: new methods and applications

Abstract Solving problems in the industry of aerospace, mechanical and civil engineering requires modeling the reality, generally using numerical simulations. Due to the high complexity of the environment, this task becomes very difficult and, in most of the cases, it is extremely expensive in terms of computational time and memory. For instance, to simulate the … Continue reading SS05 – Special Session on Soft computing and machine learning in non-linear dynamical systems and fluid dynamics: new methods and applications