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混凝土坍落度试验数据集

混凝土坍落度试验数据集

Scene:

Computer

Data Type:

Regression
所需积分:15 去赚积分?
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Data Preview ? 3K

    Data Structure ?

    *数据结构实际以真实数据为准

    Data Set Information:

    The data set includes 103 data points. There are 7 input variables, and 3 output variables in the data set.
    The initial data set included 78 data. After several years, we got 25 new data points.


    Attribute Information:

    Input variables (7)(component kg in one M^3 concrete):
    Cement
    Slag
    Fly ash
    Water
    SP
    Coarse Aggr.
    Fine Aggr.

    Output variables (3):
    SLUMP (cm)
    FLOW (cm)
    28-day Compressive Strength (Mpa)


    Relevant Papers:

    1. Yeh, I-Cheng, "Modeling slump of concrete with fly ash and superplasticizer," Computers and Concrete, Vol.5, No.6, 559-572, 2008.
    2. Yeh, I-Cheng, "Simulation of concrete slump using neural networks," Construction Materials,Vol.162, No.1, 11-18, 2009.
    3. Yeh, I-Cheng, "Prediction of workability of concrete using design of experiments for mixtures," COMPUTERS AND CONCRETE, Vol.5, No.1, 1-20, 2008.
    4. Yeh, I-Cheng, "Modeling slump flow of concrete using second-order regressions and artificial neural networks," Cement and Concrete Composites, Vol.29, No. 6, 474-480, 2007.
    5. Yeh, I-Cheng, "Exploring concrete slump model using artificial neural networks," J. of Computing in Civil Engineering, ASCE, Vol.20, No.3, 217-221, 2006.


    Citation Request:

    Yeh, I-Cheng, "Modeling slump flow of concrete using second-order regressions and artificial neural networks," Cement and Concrete Composites, Vol.29, No. 6, 474-480, 2007.


    Donor: I-Cheng Yeh
    Email: icyeh '@' chu.edu.tw
    Institution: Department of Information Management, Chung-Hua University (Republic of China)
    Other contact information: Department of Information Management, Chung-Hua University, Hsin Chu, Taiwan 30067, R.O.C.


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