Dynamic system modeling based on rough sets and RBF neural networks
Tengfei Zhang, Jianmei Xiao · 2004
Rough set is a powerful mathematical tool, which can deal with fuzzy and uncertain knowledge, and radial basis function (RBF) neural network has the ability to approach any nonlinear function precisely. A dynamic modeling method is presented using the rough sets and RBF network for complex system. The method is applied to model the steam turbine generators with complex dynamic characteristics and uncertainties. The simulation results prove the validity of this method.