F-750 Instruction Manual rev. 3/26/2014
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regression vector specific to a single property (such as dry matter). By taking the dot product of the
regression vector and a scan of an unknown sample, a concentration can be determined. These are
stored in a single row wise vector, there is 1 element in the vector for every pixel used the regression.
Root Mean Squared Error
(
RMSE):
the percent error of the model. For example, a dry matter, model
with a RMSE of 0.0123 has an error of 1.23%DM or a 1.23% prediction error. An acceptable amount of
error is determined by the type of property being predicted and the user application.
Savitzky–Golay:
a mathematical tool used to smooth spectra and to generate first or second derivatives.
This is useful as it removes noise and the derivative removes baseline offset error. Refer to Savitzky and
Golay (1964) for more information.
Training set:
the set of all of scans and known values that will be used for the PLS regression.
X population
: all of the spectra stored in a row rise matrix.
Y population:
the known values determined by a reference method stored in a single column vector.
Summary of Contents for F-750
Page 1: ...F 750 Produce Quality Meter Operation Manual...
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