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APPLICATION OF SELF-ADAPTIVE TIME SERIES MODEL TO
DISPLACEMENT FORECAST IN UNDERGROUND ENGINEERING |
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Abstract The principle of self-adaptive time series model is introducing filter theory to time series analysis. The self-adaptive time series model can，to some extent，modulate model parameters according to the input and output data，and adjust them to its optimal values in some statistical conditions through the iterative algorithm. The satisfying forecasting results may be obtained even if only part of the statistical properties is known，which is proved by two examples of modeling and forecasting of the convergent displacements of tunnels. The presented model is also useful to forecast the stability of surrounding rock and support structure of tunnels.
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Received: 30 September 2002
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CHEN Weizhong1*, LIU Xinyu1, 2, YANG Jianping1, WANG Wei1, 2, ZANG Zhonghai3, DING Hongyuan3, ZHANG Zheyuan3, WANG Xiaogang3, SHI Zhengrong1. Development of a large-scale 3D physical model test system for underground energy storage caverns and its model experimental study[J]. , 2026, 45(6): 1615-1628. |
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