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首页> 外文期刊>Turkish Journal of Agriculture & Forestry >Application of data mining on evaluation of energy dissipation over low gabion-stepped weir
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Application of data mining on evaluation of energy dissipation over low gabion-stepped weir

机译:数据挖掘在低石笼阶堰测算能量耗散中的应用

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Results of a study designed to examine the behavior of gabion-stepped weirs for energy dissipation are presented in this paper. Laboratory tests were conducted with 8 physical models consisting of 3 different porosities (38%, 40%, and 42%) and 2 slopes (1:1 and 1:2). An iron plate was also placed on each horizontal and vertical step to study and classify the effect of step porosity on the energy dissipation rate. A decision tree technique was used to derive if-then rules in order to classify the energy dissipation through the weir models. Results from this study suggest that a decision tree model has an accuracy of 85% in predicting the energy dissipation through a gabion-stepped weir using different attributes. The results demonstrate that the decision tree technique can be used as a reasonable method for classification of different parameters involved in energy dissipation through a gabion-stepped weir, and it can effectively identify the influence of various parameters on energy dissipation. Key words: Decision tree, energy dissipation, gabion, porosity, slope, stepped weir
机译:本文介绍了旨在检查石笼阶梯式堰的性能以进行耗能研究的结果。使用8种物理模型进行了实验室测试,这些模型由3种不同的孔隙率(38%,40%和42%)和2种斜率(1:1和1:2)组成。还在每个水平和垂直台阶上放置一块铁板,以研究和分类台阶孔隙率对能量耗散率的影响。决策树技术用于导出if-then规则,以便通过堰模型对能量耗散进行分类。这项研究的结果表明,决策树模型使用不同的属性通过石笼阶梯式堰来预测能量耗散的准确性为85%。结果表明,决策树技术可以作为一种合理的方法来分类石笼阶梯堰对能量耗散中涉及的不同参数进行分类,并且可以有效地识别各种参数对能量耗散的影响。关键词:决策树能量耗散石笼孔隙率斜率阶梯堰

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