首页> 外文期刊>International journal of geomechanics >Closure to 'Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties' by Musharraf Zaman, Pranshoo Solanki, Ali Ebrahimi, and Luther White
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Closure to 'Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties' by Musharraf Zaman, Pranshoo Solanki, Ali Ebrahimi, and Luther White

机译:Musharraf Zaman,Pranshoo Solanki,Ali Ebrahimi和Luther White对“使用常规路基土壤特性的弹性模量的神经网络建模”的闭合

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摘要

The writers appreciate the interest of the discussers of our paper and the important points they have raised. The discussers suggest that the models be compared in terms of coefficient of efficiency rather than the coefficient of determination (R~2). The writers agree that other parameters can be used for comparing the developed model in regard to the goodness of fit.
机译:作者感谢本文讨论者的兴趣以及他们提出的重要观点。讨论者建议,应根据效率系数而不是确定系数(R〜2)比较模型。作者同意将其他参数用于比较拟合优度方面的已开发模型。

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  • 来源
    《International journal of geomechanics》 |2012年第4期|p.518|共1页
  • 作者单位

    Petroleum and Geological Engineering, Associate Dean for Research and Graduate Programs, College of Engineering,202 W. Boyd Street, Rm. 107, Univ. of Oklahoma, Norman, OK 73019;

    School of Civil Engineering and Environmental Science, Univ. of Oklahoma, Norman, OK 73019;

    Engineering and Testing, Inc., 2603 N. Shields Blvd.,Moore, OK 73160;

    Dept. of Mathematics, Univ. of Oklahoma, Norman, OK73019;

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