... or experimental) that feature time-consuming evaluations and have highly nonlinear objective spaces. 30 04 2009 25 05 2009 05 03 2010 05 03 2010 design of experiments engines genetic algorithms radial basis function networks regression analysis More stringent emission...

...H. S. Tan The conventional approach to neural network-based aircraft engine fault diagnostics has been mainly via multilayer feed-forward systems with sigmoidal hidden neurons trained by back propagation as well as radial basis function networks. In this paper, we explore two novel approaches...