Nonlinear regression methods in uncertainty and sensitivity studies and reliability computations

摘要

That paper describes the first works on the definition of a coherent response surface methodology for uncertainty, sensitivity and reliability applications. In case of non linear or discontinuous phenomenon, with a time consuming software as modeling, artificial neural networks have been tested as response surface. A Bootstrap method is proposed as an efficient validation tool for any kind of response surface.