Skip to Main Content Skip to Search Accelerating the pace of
engineering and science  Optimal Neural Network for Automotive
Product Development  Dr. Angela Bernardini, CITEAN (Centro de
Innovación Tecnológica de Automoción de Navarra), Spain  Optimal
Neural Network for Automotive Product Development  Virtual
engineering technology has undergone rapid progress in recent
years and has been widely accepted for commercial product
development. Product design and manufacturing organizations are
moving from the traditional multiple and serial test cycle
approach to simulation, which solves problems and validates
performances using CAE and CAD tools.  For an efficient process,
it is essential that design variants can be done within a short
time frame. This generally leads to a challenge when the system
under study exhibits nonlinear behavior. This session introduces
a new methodology based on neural networks (NNs) and genetic
algorithms (GAs), which “put data to work” and provide the best
possible solution for a give