Application of BP Neural Network Embankment Settlement Prediction in Seasonal Frozen Areas

Digital Manufacturing and Automation(2013)

引用 0|浏览1
暂无评分
摘要
Considering the function of temperature in Freeze-thaw cycle of seasonal frozen area, temperature is an important factor as BP neural network input layer. The settlement in Season frozen area is predicted based on actual measurements, which will enable the prediction results more in line with the actual engineering of the seasonally frozen ground region, and at the same time improve the prediction accuracy.
更多
查看译文
关键词
bp neural network,subgrade settlement prediction,seasonal frozen areas,freeze-thaw cycle,seasonal frozen area,bp neural network input layer,structural engineering computing,backpropagation,freezing,melting,geotechnical engineering,geotechnical structures,temperature function,cycle of freezing and thawing,bp neural network embankment settlement prediction accuracy improvement,neural nets,automation,manufacturing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要