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Comparison of performance of different algorithms in noisy signals filtering of process in enzymatic hydrolysis of cheese whey

This work presented the results of the implementation of an off-line smoothing algorithm in the monitoring system, for the partial hydrolysis of cheese whey proteins using enzymes, which used penalized least squares. Different algorithms for on-line signals filtering used by the control were also compared: artificial neural networks, moving average and smoothing algorithm.

Enzymatic proteolysis; pH control; post-treatment noisy data; on-line noisy signals filtering


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