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首页> 外文期刊>Journal of Pipeline Systems Engineering and Practice >Discussion of 'Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming' by H. Md. Azamathulla and Z. Ahmad
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Discussion of 'Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming' by H. Md. Azamathulla and Z. Ahmad

机译：H. Md。Azamathulla和Z. Ahmad讨论了“使用自适应神经模糊干扰系统和基因表达编程方法估算通过管道输送泥浆的临界速度”

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摘要

The discussers would like to thank the authors for proposing a new equation [Eq. (21)] for the estimation of critical velocity based on the gene-expression programming (GEP) and using the available data, and would like to draw attention to some points. As mentioned by the authors, the GEP model is preferred over the ANFIS model, as the latter does not produce an explicit formula. Explicit formulas are useful for the practitioners in the estimation of critical velocity in a pipeline. Many investigators have proposed explicit equations for the estimation of the critical flow velocity, and the authors also aim to propose a new equation based on the gene-expression programming (GEP). However, the steps and the results of a scientific research should be repeatable and reproducible.
机译：讨论者要感谢作者提出了一个新的方程式。 （21）]基于基因表达编程（GEP）并使用可用数据来估计临界速度，并希望引起注意。正如作者所提到的，GEP模型优于ANFIS模型，因为后者无法产生明确的公式。显式公式对于从业人员在估算管道中的临界速度时很有用。许多研究者已经提出了用于估计临界流速的显式方程，并且作者还旨在基于基因表达编程（GEP）提出一个新方程。但是，科学研究的步骤和结果应该是可重复的和可重复的。

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  • 来源
    《Journal of Pipeline Systems Engineering and Practice》 |2015年第1期|07014003.1-07014003.3|共3页
  • 作者

    Ali R. Vatankhah; P. Peysokhan;

  • 作者单位

    Irrigation and Reclamation Engineering Dept., Univ. College of Agriculture and Natural Resources, Univ. of Tehran, P.O. Box 4111, Karaj, 3158777871 Tehran, Iran;

    Irrigation and Reclamation Engineering Dept., Univ. College of Agriculture and Natural Resources, Univ. of Tehran, RO. Box 4111, Karaj, 3158777871 Tehran, Iran;

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