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文章基本信息

  • 标题:Geotechnical Slope Protection Model Based on Genetic Algorithm
  • 本地全文:下载
  • 作者:Lin Huang ; Fengyin Liu ; Van Huong Dong
  • 期刊名称:Nature, Environment and Pollution Technology
  • 印刷版ISSN:0972-6268
  • 出版年度:2019
  • 卷号:18
  • 期号:5
  • 页码:1509-1513
  • 语种:English
  • 出版社:Technoscience Publications
  • 摘要:In order to study the rock slope protection model based on a genetic algorithm, the theory of slope stability and evaluation theory were introduced. Slope engineering geological model framework, slope safety and stability mathematical mechanics model and slope evolution bifurcation model were studied. The application of artificial intelligence in slope stability was analyzed. Based on the theoretical results at home and abroad, an FCM clustering analysis based on genetic algorithm was obtained. Soft set theory and fuzzy soft set theory were introduced. An algorithm model for evaluating decision-making in slope management was proposed. An example analysis was carried out in combination with the developed system. The results showed that the evaluation system had obvious advantages. The model provides an effective reference for engineering decision-making.
  • 关键词:Slope stability;Genetic algorithm;Fuzzy soft set theory;Decision making
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