1991
DOI: 10.1016/s0003-2670(00)80667-4
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Discriminant analysis techniques for the identification of atmospheric pollutants from passive Fourier transform infrared interferograms

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Cited by 17 publications
(14 citation statements)
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“…This second set of patterns should be characteristically similar to the training patterns, in order to assess in a controlled environment whether the discriminant optimization was isolated to the training set alone or can be applied to multiple sets of data. 36,77,83 By defining the classes as active and inactive, similar to the training set, the discriminants can be applied to the new set of monitoring data. By assessing how the discriminants separate the classes, the performance of the simplex optimization can be determined.…”
Section: Methods Validationmentioning
confidence: 99%
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“…This second set of patterns should be characteristically similar to the training patterns, in order to assess in a controlled environment whether the discriminant optimization was isolated to the training set alone or can be applied to multiple sets of data. 36,77,83 By defining the classes as active and inactive, similar to the training set, the discriminants can be applied to the new set of monitoring data. By assessing how the discriminants separate the classes, the performance of the simplex optimization can be determined.…”
Section: Methods Validationmentioning
confidence: 99%
“…Even if the initial training results are poor, it is expected that the discriminant applied to a monitoring set would result in a similar separation of the classes. 36,77,83 If the discriminant is identified as having been poorly optimized, a review of the simplex optimization parameters can be done. In some cases, the spanning constant of the vertices may need to be reassessed in order to free the optimization from an anomalous pattern cluster.…”
Section: Methods Validationmentioning
confidence: 99%
See 3 more Smart Citations