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控制理论与应用 2010
Nonlinear robust partial least squares based on projection pursuit and its application
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Abstract:
Data from industrial field usually possess nonlinear feature and contain outliers;modeling with nonlinear partial least squares(PLS) method may suffer from these outliers. For this case, combining with radial basis function(RBF) networks, we present a nonlinear robust PLS method based on the projection pursuit. First, the nonlinear relationship between independent and dependent variables is changed into a linear one by RBF transformation. Then, projection pursuit algorithm is employed to extract the robust ...