改进熵值法建立组合模型预测地基沉降-AtlantisPress.PDF

International Conference on Education, Management and Computer Science (ICEMC 2016) Improved Entropy Method Establishing Combination Model for Prediction Foundation Settlement Yanping Gao1, a, Yang Yang2, b and Jie Wang1, c 1Hebei University of Engineering, Handan, Hebei Province, China 2 Hebei Institute of Designing Water Resources and Hydropower, Tianjin, China a760761994@, b847200306@, c378205421@ Keywords: Improved entropy method; Exponential model; Logistic model; Combination model; Settlement prediction Abstract. 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. 改进熵值法建立组合模型预测地基沉降 1，a 2,b 1,c 高艳平 ，杨洋 ，王杰 1.河北工程大学 水电学院 水利工程，中国 河北邯郸，056038 2.河北省水利水电勘测设计研究院，中国 天