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    結果 1-10 / 13663.

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    1地震災害境況模擬研究-子計畫:土壤液化及引致變位之機率分析(I)

    黃富國2002
    [營建系] 研究報告
    淡江大學營建系 黃富國 地震災害境況模擬研究-子計畫:土壤液化及引致變位之機率分析(I) Probabilistic Analysis for Soil Liquefaction and Induced Ground Deformation (I) 2002 行政院國家科學委員會 http

    2Dynamic Circle Recommendation: A Probabilistic Model

    Chou, Fan-Kai; Chiang, Meng-Fen; 2014-05
    [資訊工程學系暨研究所] 會議論文
    The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), pp.25-37
    for scenarios, such as, who should I dial to in the early morning? whose mail would I reply first at midnight? We develop a time-sensitive probabilistic model

    3The Phase Concept for Liquefaction in both Sandy and Clayey Soils

    Lee, Shannon Hsien-Heng; Huang, Jin-Hwa; 2013-03
    [土木工程學系暨研究所] 期刊論文
    Journal of Applied Science and Engineering=淡江理工學刊 16(1), pp.15-22
    that the main trigger of liquefaction under earthquake is the change of pore water pressure inside soil. Others proposed the variation of soils from

    4Addressing the Advantages of Using Ensemble Probabilistic Models in Estimation of Distribution Algorithms for Scheduling Problems

    Chen, S. H.; Chen, M. C.2013
    [資訊工程學系暨研究所] 期刊論文
    International Journal of Production Economics 141(1), p.24–33
    Chen, S. H. Chen, M. C. Addressing the Advantages of Using Ensemble Probabilistic Models in Estimation of Distribution Algorithms for Scheduling

    5Explore a Multivariate Bayesian Uncertainty Processor driven by artificial neural networks for probabilistic PM2.5 forecasting

    Yanlai Zhou; Li-Chiu Chang; 2020-04
    [水資源及環境工程學系暨研究所] 期刊論文
    Science of the Total Environment 711, 134792
    (Section 4.1), deterministic PM2.5 forecasts (Section 4.2), and probabilistic PM2.5 forecasts and summarization (Section 4.3). 4.1. Preliminary analysis

    6Mixed fuzzy-probabilistic programming approach for multiobjective engineering optimization with random variables

    Shih, C. J.; Wangsawidjaja, R. A. S.1996-06-01
    [機械與機電工程學系暨研究所] 期刊論文
    Computers and structures 59(2), pp.283-290
    September 7994) Abstract-A mixed fuzzy-probabilistic fuzzy-probubilistuc programming approach is presented to solve i multiobjective

    7One-Dimensional Wave Equation Analyses for Pile Responses subjected to Seismic Horizontal Ground Motions

    Chang, Der-Wen; Cheng, Shih-Hao; 2014-06
    [土木工程學系暨研究所] 期刊論文
    Soils and Foundations 54(3), pp.313-328
    True dynamic analysis Time dependent or pseudo-static solutions resolved Level ground Full analysis to monitor the liquefaction induced problem (flow

    8Fuzzy mixture inventory model with variable lead-time based on probabilistic fuzzy set and triangular fuzzy number

    Chang, H. C.; Yao, J. S.; 2004-01
    [管理科學學系暨研究所] 期刊論文
    Mathematical and Computer Modelling 39(2-3), pp.287-304
    the numerical analysis method, we obtain the computed results as shown in Table 5. From these results, the following can be observed. (i

    9EQWEAP Analysis and Its Applications to Seismic Performance Based Design for Pile Foundations

    Chang, Der-wen; Lee, Shun-min2013-03
    [土木工程學系暨研究所] 期刊論文
    Journal of Applied Science and Engineering=淡江理工學刊 16(1), pp.29-40
    that are affected by soil liquefaction and liquefaction induced lateral spread of the ground under very large earth- quakes. The fatal

    10Seismic response analysis of piled raft with grid-form deep mixing walls under strong earthquakes with performance-based design concerns

    Yamashita, Kiyoshi; Shigeno, Yoshimasa; 2018-02
    [土木工程學系暨研究所] 期刊論文
    Soils and Foundations 58(1), p.65-84
    -dimensional FE analysis;Stabilized soil;Tensile failure;Performance-based design A seismic response analysis of a piled raft foundation combined with cement

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