Landslide displacement prediction technique using improved neuro-fuzzy system
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-017-3278-4
Abstract: Landslides are one of the most destructive forms of natural hazards, which cause serious threat to life and properties. Landslide monitoring and perdition of future landslide behavior is an important aspect of disaster mitigation, as… read more here.
Keywords: technique; neuro fuzzy; landslide displacement; prediction ... See more keywords
Landslide displacement prediction based on time series analysis and data assimilation with hydrological factors
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-020-05452-1
Abstract: The displacement prediction of an active landslide is a complicated and challenging problem worldwide. Currently, most prediction experiments focus on the mechanism model and fail to integrate with the influence factors. In this paper, a… read more here.
Keywords: data assimilation; landslide displacement; displacement; prediction ... See more keywords
Research on Landslide Displacement Prediction Using Stacking-Based Machine Learning Fusion Model
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DOI: 10.3390/app152111747
Abstract: To address the issues of the insufficient accuracy and weak generalization capabilities of single models in landslide displacement prediction, this paper proposes a machine learning model fusion prediction method for landslide displacement based on stacking.… read more here.
Keywords: displacement prediction; fusion; prediction; landslide displacement ... See more keywords
Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19042077
Abstract: In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze… read more here.
Keywords: bilstm model; displacement prediction; landslide displacement; displacement ... See more keywords
Landslide Displacement Prediction Based on Multivariate LSTM Model
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20021167
Abstract: There are many frequent landslide areas in China, which badly affect local people. Since the 1980s, there have been more than 200 landslides in China with a death toll of 30 or more people at… read more here.
Keywords: lstm model; landslide displacement; prediction; displacement prediction ... See more keywords
A Novel Displacement Prediction Model for Inclined Anchor Bolt Based on Mindlin’s Solution
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DOI: 10.3390/jmse13091828
Abstract: Since anchoring technology is a key measure to enhance the deformation resistance of engineering structures, it is widely applied in bridges, dams, power transmission lines, and offshore platforms. The displacement of anchor bolts directly affects… read more here.
Keywords: anchor bolt; prediction model; displacement prediction;
Landslide Displacement Prediction Using Kernel Extreme Learning Machine with Harris Hawk Optimization Based on Variational Mode Decomposition
Sign Up to like & getrecommendations! Published in 2024 at "Land"
DOI: 10.3390/land13101724
Abstract: Displacement deformation prediction is critical for landslide disaster monitoring, as a good landslide displacement prediction system helps reduce property losses and casualties. Landslides in the Three Gorges Reservoir Area (TGRA) are affected by precipitation and… read more here.
Keywords: displacement prediction; variational mode; prediction; landslide displacement ... See more keywords