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• W2465394573 abstract "A process optimization method based on partial least squares (PLS) has been used in pharmaceutical processes. However, its applicability and performance are limited because PLS cannot cope with nonlinearity and changes in process characteristics. In this research, a new process optimization method based on locally weighted PLS (LW-PLS) is proposed. To solve a nonlinear optimization problem based on LW-PLS, in which any global model is not constructed, self-adaptive differential evolution (jDE) is adopted. The validity of the proposed method is demonstrated through a numerical example and an industrial case study of a pharmaceutical granulation process." @default.
• W2465394573 created "2016-07-22" @default.
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• W2465394573 date "2015-01-01" @default.
• W2465394573 modified "2023-10-18" @default.
• W2465394573 title "Process Parameter Optimization based on LW-PLS in Pharmaceutical Granulation Process∗∗This work was partially supported by Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (C) 24560940." @default.
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• W2465394573 doi "https://doi.org/10.1016/j.ifacol.2015.08.198" @default.
• W2465394573 hasPublicationYear "2015" @default.
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