Improved Entropy Method Establishing Combination Model for Prediction Foundation Settlement
Yanping Gao, Yang Yang, Jie Wang
Available Online May 2016.
- https://doi.org/10.2991/icemc-16.2016.175How to use a DOI?
- Improved entropy method; Exponential model; Logistic model; Combination model; Settlement prediction
- On the basis of the exponential model and Logistic model presented at the previous, using improved entropy method to calculate each model weight coefficient to establish a new combination model for prediction foundation settlement, to achieve the goal of comprehensive advantages of both models and smaller prediction error. Respectively using exponential model, Logistic model and a combination of both a model to process power plant foundation settlement data, and with squared error, mean absolute error, mean absolute percentage error, mean square error for each model to evaluate the prediction accuracy. The results show that Prediction error of combination model established by improved entropy method is less than a single forecast model. The combination model has Higher prediction accuracy and effectively predict the power plant foundation settlement.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yanping Gao AU - Yang Yang AU - Jie Wang PY - 2016/05 DA - 2016/05 TI - Improved Entropy Method Establishing Combination Model for Prediction Foundation Settlement BT - Proceedings of the 2016 International Conference on Education, Management and Computer Science PB - Atlantis Press SP - 869 EP - 876 SN - 1951-6851 UR - https://doi.org/10.2991/icemc-16.2016.175 DO - https://doi.org/10.2991/icemc-16.2016.175 ID - Gao2016/05 ER -