Title:
MOUNTAINOUS AREA SLOPE DISPLACEMENT PREDICTION METHOD BASED ON MI-GRA AND IMPROVED PSO-LSTM
Document Type and Number:
WIPO Patent Application WO/2024/001942
Kind Code:
A1
Abstract:
Disclosed in the present invention is a mountainous area slope displacement prediction method based on MI-GRA and an improved PSO-LSTM. The method comprises the following steps: (1) collecting and constructing original data for slope displacement prediction; (2) on the basis of the constructed original data for slope displacement prediction, establishing an MI-GRA-based slope displacement feature selection model; (3) using data subjected to feature selection as an optimal feature set input for slope displacement prediction, and establishing an improved-PSO-LSTM-based slope displacement prediction model; and (4) performing model prediction and testing on the established slope prediction model. The present method solves the problems of: a previous prediction algorithm itself having a static characteristic and being unable to consider historical information of slope displacement, thereby restricting the improvement of the prediction precision; previous slope displacement prediction only focusing on the displacement itself and being unable to bring a displacement influence factor into a prediction model, resulting in a poor prediction effect; etc.
Inventors:
WANG WUBIN (CN)
DENG ZHIXING (CN)
XIE KANG (CN)
DONG MINQI (CN)
LI YANDONG (CN)
DENG ZHIXING (CN)
XIE KANG (CN)
DONG MINQI (CN)
LI YANDONG (CN)
Application Number:
PCT/CN2023/102070
Publication Date:
January 04, 2024
Filing Date:
June 25, 2023
Export Citation:
Assignee:
UNIV SOUTHWEST JIAOTONG (CN)
International Classes:
G06N3/0442
Foreign References:
| CN115238850A | 2022-10-25 | |||
| CN113947009A | 2022-01-18 | |||
| CN111914481A | 2020-11-10 |
Attorney, Agent or Firm:
CHENGDU QINGZHI PATENT LAW OFFICE (CN)
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