Non-linear modelling of chemical data by combinations of linear and neural net methods
作者： Beata Walczak , Wolfhard Wegscheider
DOI: 10.1016/0003-2670(93)85264-K
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摘要: Abstract The combinations of classical bilinear models and neural nets, extended to net on residuals from partial least squares (PLS) are discussed. performances principal component regression (PCR), PLS, networks (NN), analysis (PCA)-NN PLS residuals-NN compared simulated data, near-infrared data quantitative structure-activity relationship data.
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