Engineering Applications of Neural Networks (2005) Model and variable selection for nonlinear model design: some developments and methodology

The paper discusses the issues of model selection and variable (feature) selection for nonlinear modeling. Methods are described, which were designed to be simple and to involve little computational overhead, but are nevertheless generic, since they do not involve ad hoc heuristics. The principles of the methods are described, and pointers to the description of applications are provided.