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    دورية أكاديمية

    المصدر: Engineering Geology

    وصف الملف: application/pdf

    العلاقة: https://eprints.qut.edu.au/203141/1/65172080.pdfTest; Zhang, Pin, Yin, Zhen Yu, Jin, Yin Fu, & Chan, Tommy H.T. (2020) A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest. Engineering Geology, 265, Article number: 105328.; https://eprints.qut.edu.au/203141Test/; Centre for Data Science; Centre for Materials Science; Institute for Future Environments; Science & Engineering Faculty; Faculty of Science; School of Civil & Environmental Engineering; Centre for Tropical Crops and Biocommodities

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    المساهمون: Nanjing Southeast University, Laboratoire Navier (NAVIER UMR 8205), École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Hefei University of Technology (HFUT)

    المصدر: Engineering Geology
    Engineering Geology, Elsevier, 2020, 272, pp.105648. ⟨10.1016/j.enggeo.2020.105648⟩

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