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Adaptive Process Control in Rubber industry

Brause R. W., Pietruschka U.

International Journal of Occupational Safety and Ergonomics

1998

Vol. 4, No. 3

253--269

This paper describes the problems and an adaptive solution for process control in rubber industry. We show that the human and economical benefits of an adaptive solution for the approximation of process parameters are very attractive. The modeling of the industrial problem is done by the means of artificial neural networks. For the example of the extrusion of a rubber profile in tire production our method shows good resuits even using only a few training samples.