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The feasibility of using a general calibration model based on guided microwave spectroscopic (GMS) data for the determination of moisture in various tobacco types is described. Several calibration methods were used on this data; multivariate linear regression (MLR), partial least square (PLS), polynomial PLS (n-PLS) and multi-layer feed-forward artificial neural networks (MLF) and the results are...
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