Academic Journal
An Improved KNN‐Based Slope Stability Prediction Model
| العنوان: | An Improved KNN‐Based Slope Stability Prediction Model |
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| المؤلفون: | Huang, Shuai, Huang, Mingming, Lyu, Yuejun |
| المساهمون: | Dede, Tayfun, China Earthquake Administration, National Natural Science Foundation of China, CAST Innovation Foundation, Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities |
| المصدر: | Advances in Civil Engineering ; volume 2020, issue 1 ; ISSN 1687-8086 1687-8094 |
| بيانات النشر: | Wiley |
| سنة النشر: | 2020 |
| المجموعة: | Wiley Online Library (Open Access Articles via Crossref) |
| الوصف: | An accurate slope prediction model is important for slope reinforcement before the disaster. The k ‐nearest neighbor (KNN) algorithm, as a simple and effective nonparametric machine learning method, is widely applied in classification recognition. In our study, the k ‐nearest neighbor (KNN) algorithm is improved to reduce its sample dependence and improve the robustness of the algorithm, and then the prediction model of the slope stability is proposed based on the improved k ‐nearest neighbor (KNN) algorithm. Extensive experimental results show that our proposed prediction model achieves high prediction performance in this regard. Moreover, a comparison between our proposed prediction model and the finite element method, which is the classical theoretical method of slope stability, was made, which will provide an important approach to predicting the slope stability for slope engineering. Finally, shaking table test of a slope model is conducted to evaluate whether the slope is stable or not, and the experimental results are in good agreement with the prediction results of our proposed prediction model, which further demonstrates its effectiveness. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1155/2020/8894109 |
| الاتاحة: | http://dx.doi.org/10.1155/2020/8894109 http://downloads.hindawi.com/journals/ace/2020/8894109.pdf http://downloads.hindawi.com/journals/ace/2020/8894109.xml https://onlinelibrary.wiley.com/doi/pdf/10.1155/2020/8894109 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.A4A27855 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1155/2020/8894109 |
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