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The predictability of measurement uncertainty is a critical issue in quality assurance. The performance of such a process cannot be predicted if no proper mathematical model is available. For manufacturing processes where no satisfactory analytical model exists, or where a low-order empirical polynomial model is inappropriate, neural networks offer a good alternative predictive modeling approach....
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