An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Deformation predicting models are essential for evaluating the health status of concrete dams.
Nevertheless, the application of the conventional multiple linear regression model has been limited due to the particular structure, random loading, and strong nonlinear deformation of concrete dams.
Conversely, the artificial neural network (ANN) model shows good adaptability to complex and highly nonlinear behaviors.
This paper aims to evaluate the specific performance of the multiple linear regression (MLR) and artificial neural network (ANN) model in characterizing concrete dam deformation under environmental loads.
In this study, four models, namely, the multiple linear regression (MLR), stepwise regression (SR), backpropagation (BP) neural network, and extreme learning machine (ELM) model, are employed to simulate dam deformation from two aspects: single measurement point and multiple measurement points, approximately 11 years of historical dam operation records.
Results showed that the prediction accuracy of the multipoint model was higher than that of the single point model except the MLR model.
Moreover, the prediction accuracy of the ELM model was always higher than the other three models.
All discussions would be conducted in conjunction with a gravity dam study.
American Psychological Association (APA)
Li, Mingjun& Wang, Junxing. 2019. An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197124
Modern Language Association (MLA)
Li, Mingjun& Wang, Junxing. An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling. Mathematical Problems in Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1197124
American Medical Association (AMA)
Li, Mingjun& Wang, Junxing. An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197124