Using RBF-nets in rubber industry process control

Abstract

This paper describes the use of a radial basis function (RBF) neural network. It approximates the process parameters for the extrusion of a rubber profile used in tyre production. After introducing the problem, we describe the RBF net algorithm and the modeling of the industrial problem. The algorithm shows good results even using only a few training samples. It turns out that the "curse of dimensions" plays an important role in the model. samples. It turns out that the "curse of dimensions" plays an important role in the model. The paper concludes by a discussion of possible systematic error influences and improvements.