RBFN identification of a solution copolymerization model

Methods developed for radial basis function network (RBFN) identification are applied to a complex multiple-input, multiple-output (MIMO) simulation. For RBFN identification, stepwise regression analysis is used, together with model order determination using the method of false nearest neighbors and width parameter estimation using approximate gradient norms. Industrially practical input sequence design is also considered.