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        An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration

        Registration in:
        1873-3573
        http://hdl.handle.net/2133/10470
        http://hdl.handle.net/2133/10470
        http://repositorioslatinoamericanos.uchile.cl/handle/2250/2679989
        Author
        Allegrini, Franco
        Olivieri, Alejandro César
        Institutions
        • Universidad Nacional del Rosario (Argentina)
        Abstract
        A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection based on ant colony optimization, (2) mathematical pre-processing selection by a genetic algorithm, and (3) sample selection through a distance-based procedure. Outlier detection has also been included as part of the model optimization. All the above procedures have been combined into a single algorithm, whose aim is to find the best PLS calibration model within a Monte Carlo-type philosophy. Simulated and experimental examples are employed to illustrate the success of the proposed approach.
        Subjects
        Partial least-squares
        Multivariate Calibration
        Variable Selection
        Pre-processing Selection
        Sample Selection
        Outlier Detection

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        Red de Repositorios Latinoamericanos
        + of 7.000.000
        Available publications
        400 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
        • Argentinean Theses
        • Chilean Theses
        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018