Suchergebnisse - "Multi-expression programming"

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  1. 1

    Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming von Khawaja, Laiba, Javed, Muhammad Faisal, Asif, Usama, Alkhattabi, Loai, Ahmed, Bilal, Alabduljabbar, Hisham

    ISSN: 2352-0124, 2352-0124
    Veröffentlicht: Elsevier Ltd 01.08.2024
    Veröffentlicht in Structures (Oxford) (01.08.2024)
    “… ) and multi-expression programming (MEP), to investigate the subject further. The precision and anticipatory proficiency of both the GEP and MEP models are assessed through statistical evaluations, encompassing crucial metrics …”
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  2. 2

    Compressive strength of waste-derived cementitious composites using machine learning von Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong

    ISSN: 1605-8127, 1605-8127
    Veröffentlicht: De Gruyter 15.05.2024
    Veröffentlicht in Reviews on advanced materials science (15.05.2024)
    “… ) and multi-expression programming (MEP) were used to build these models. Additionally, models were evaluated by calculating values, carrying out statistical tests, creating …”
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    Journal Article
  3. 3

    Soft computing models for prediction of bentonite plastic concrete strength von Inqiad, Waleed Bin, Javed, Muhammad Faisal, Onyelowe, Kennedy, Siddique, Muhammad Shahid, Asif, Usama, Alkhattabi, Loai, Aslam, Fahid

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 05.08.2024
    Veröffentlicht in Scientific reports (05.08.2024)
    “… Thus, this study presents a novel attempt at the application of two innovative evolutionary techniques known as multi-expression programming (MEP …”
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  4. 4

    Prediction of compressive and tensile strength of limestone via genetic programming von BAYKASOGLU, A, GULLU, H, CANAKCI, H, OZBAKIR, L

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: Elsevier Ltd 01.07.2008
    Veröffentlicht in Expert systems with applications (01.07.2008)
    “… Accurate determination of compressive and tensile strength of limestone is an important subject for the design of geotechnical structures …”
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  5. 5

    Exploring the viability of AI-aided genetic algorithms in estimating the crack repair rate of self-healing concrete von Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong

    ISSN: 1605-8127, 1605-8127
    Veröffentlicht: De Gruyter 01.03.2024
    Veröffentlicht in Reviews on advanced materials science (01.03.2024)
    “… ) and multi-expression programming (MEP) tools. The discrepancy between expected and desired results, statistical tests …”
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    Journal Article