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- W2083501020 abstract "The quadratic partial least squares (QPLS) method is a nonlinear version of the PLS method. In the method a quadratic inner relation function is used instead of a linear function in the PLS method. When the QPLS method is applied, the inner relation function should be optimized. Hitherto, a mathematical optimization method is employed, however, which is not always useful. In this paper we proposed a new hybrid method that integrates the genetic algorithm (GA) and the QPLS method (GA-QPLS), in which GA is introduced to optimize the inner relation function instead of the mathematical method. The hybrid method is applied to chemical data that show a nonlinearity, and then its performance is investigated and compared with that of the conventional QPLS method. It is shown that the hybrid method can overcome shortcomings of the mathematical method and lead a significant improvement over the conventional QPLS method." @default.
- W2083501020 created "2016-06-24" @default.
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- W2083501020 date "1997-11-01" @default.
- W2083501020 modified "2023-09-27" @default.
- W2083501020 title "Optimization of the Inner Relation Function of QPLS Using Genetic Algorithm" @default.
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- W2083501020 doi "https://doi.org/10.1021/ci970026i" @default.
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