Prediction of Frost-Heaving Behavior of Saline Soil in Western Jilin Province, China, by Neural Network Methods
Joint Authors
Wang, Qing
Wang, Gang
Wang, Wenhua
Zhang, Xudong
Huo, Zhensheng
Yu, Tianwen
Liu, Tianbao
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this study, backpropagation neural network (BPNN) and generalized regression neural network (GRNN) approaches are used to predict the frost-heaving ratio (FR) of the saline soil specimen collected from Nong’an, Western Jilin, China.
Four variables, namely, water content (WC), compactness, temperature, and content of soluble salts (CSS), are considered in predicting FR.
A total of 360 pieces of data, collected from the experimental results, in which 30 pieces of data were selected randomly as the testing set data and the rest of the data were treated as the training set data, are applied to develop the prediction models.
The predicted data from the models are compared with the experimental data.
Then, the results of the two approaches are compared to obtain a relatively reliable model.
Results indicate that the prediction model for the FR of saline soil in Nong’an can be successfully established using the GRNN method.
Four new GRNN models are constructed for sensitivity analysis to assess the influence degree of the influencing factors, and the results indicate that water content is the most influential variable in the FR of the saline soil specimen, whereas content of soluble salts is the least influential variable.
American Psychological Association (APA)
Zhang, Xudong& Wang, Qing& Huo, Zhensheng& Yu, Tianwen& Wang, Gang& Liu, Tianbao…[et al.]. 2017. Prediction of Frost-Heaving Behavior of Saline Soil in Western Jilin Province, China, by Neural Network Methods. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191938
Modern Language Association (MLA)
Zhang, Xudong…[et al.]. Prediction of Frost-Heaving Behavior of Saline Soil in Western Jilin Province, China, by Neural Network Methods. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1191938
American Medical Association (AMA)
Zhang, Xudong& Wang, Qing& Huo, Zhensheng& Yu, Tianwen& Wang, Gang& Liu, Tianbao…[et al.]. Prediction of Frost-Heaving Behavior of Saline Soil in Western Jilin Province, China, by Neural Network Methods. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191938
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191938