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Prediction of Frost-Heaving Behavior of Saline Soil in Western Jilin Province, China, by Neural Network Methods
المؤلفون المشاركون
Wang, Qing
Wang, Gang
Wang, Wenhua
Zhang, Xudong
Huo, Zhensheng
Yu, Tianwen
Liu, Tianbao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-24
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191938
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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