Fuzzy Self-Adaptable Prediction Method for High-Fill Road Foundation Settlement

Xiangxing Kong, Hongzheng Li
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Abstract

In the forecasting of road foundation settlement, different methods can often provide valuable information. When different forecasting methods combined properly, comprehensive forecast information are variously utilized. According to the principle of artificial intelligence and method of fuzzy mathematics, the fuzzy combination forecasting method of self-adaptively variable weight is proposed. Based on matching degree of past-recent period and actual value, the weights are automatically adjust, so that forecasting results will be accurate. The fuzzy combination forecasting method of self-adaptively variable weight is applied to the sub grade settlement in Hengzao expressway, which provides the prediction accuracy and reliable applicability. In order to improve the prediction accuracy, the measured sample points should increase, and with the passage of time, the recent settlement results should be set to the set of original sample.
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高填方道路地基沉降模糊自适应预测方法
在道路地基沉降预测中,不同的方法往往能提供有价值的信息。当不同的预测方法相结合时,综合预测信息的利用是多种多样的。根据人工智能原理和模糊数学方法,提出了自适应变权模糊组合预测方法。根据过去最近时期与实际值的匹配程度,自动调整权重,使预测结果更加准确。将自适应变权模糊组合预测方法应用于横早高速公路路基沉降,预测精度高,适用性可靠。为了提高预测精度,应增加测量的样点,并随着时间的推移,将最近的沉降结果设置为原始样点的集合。
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