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人工神经网络预测采空区对高速公路沉降影响的研

Influences on the highway settlement by the mined-out area with artificial neural network prediction

中文摘要英文摘要

探讨了应用人工神经网络技术预测采空区对高速公路路基沉降的新方法,提出了采取BP神经网络建模方法对最终沉降的预测。研究证明神经网络法能避免传统方法计算过程中各种人为因素的干扰,计算精度高,简便易行,对采空区影响高速公路路基沉降的预测是可行的。

o explore the application of artificial neural network technology forecasting mined-out area on the highway roadbed settlement new method is proposed to take BP neural network modeling approach to the final settlement predictions. studies have shown that neural network method to avoid the traditional methods of calculation of various human factors, the calculation is accurate and easy on the impact of mined-out area of highway subgrade settlement prediction is feasible.

王星

公路运输工程自动化技术、自动化技术设备

人工神经网络预测采空区高速公路沉降

artificial neural networkpredictionmined-out areahighwaysettlement

王星.人工神经网络预测采空区对高速公路沉降影响的研[EB/OL].(2009-10-10)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/200910-100.点此复制

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