Analysis of correlation and sensitivity influences on the variation of mechanical parameters of proximate structures in the delta region
, , , oraz
27 lut 2025
O artykule
Data publikacji: 27 lut 2025
Otrzymano: 15 paź 2024
Przyjęty: 15 sty 2025
DOI: https://doi.org/10.2478/amns-2025-0142
Słowa kluczowe
© 2025 Qinghe Zeng et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Advantages, disadvantages, and applications of different methods [34]
| Serial Number | Method | Advantage | Disadvantage | Application |
|---|---|---|---|---|
| 1 | Linear regression prediction | Good at acquiring linear relationships in the dataset; easy to operate; fast training and prediction speed. | The measurement data are discrete, and the prediction accuracy is affected by complex geological conditions. | It is suitable for low latitudes and there is no covariance between each dimension. |
| 2 | Grayscale Model | Simple and practical; few model parameters. | Little fault tolerance; not suitable for long-term forecasting. | It is suitable for short-term prediction. |
| 3 | Support vector machine | Simple algorithm; good robustness (in the case of small samples). | Limited by the sample size; when the sample size is too large, the accuracy will be affected. | It is mainly used for data classification but can also be used for regression prediction. |
| 4 | Time series | It allows for full consideration of the impact of seasonal and cyclical variations on specific points in time. | Single linearity, stable monitoring time, equidistant data feature. | It is applied to predicts related to its own previous period. |
| 5 | Neural network technology | Better nonlinear mapping capability; better self-learning and self-adaptive capability; certain faulttolerance capability. | With low learning efficiency, slow convergence speed, and easy to fall into a local minimum state. | Theoretically, it can be mapped to any function. |
Main monitoring items_
| Serial Number | Object | Monitoring items | Unit | Obtain access |
|---|---|---|---|---|
| 1 | Climate | RF | mm | Weather forecast |
| 2 | Foundation pit | M | kN | SSC-101 Frequency reading instrument |
| SW | mm | SVW-1 Electric water level gauge | ||
| WY | mm | TS30 Total station | ||
| CJ | mm | DNA03 Electronic level | ||
| 3 | Slope | JM | kN | SSC-101 Frequency reading instrument |
| PSW | mm | SVW-1 Electric water level gauge | ||
| PWY | mm | TS30 Total station | ||
| PWX | mm | DNA03 Electronic level | ||
| 4 | Embankment | S | mm | DNA03 Electronic level |
| J | mm | TS30 Total station |