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In this paper, we report on the use of neural networks (NNs) to estimate hot-compression test (HCT) curves for calendering gasket materials on the basis of their formulas. The NNs were used to demonstrate their potential during optimizing formulas for new calendering gasket materials. In the past, and to a large extent even now, the optimization of a new calendering gasket material was based on a...