The mining subsidence prediction with combination of fuzzy inference and neural networks is investigated.
用模糊数学与神经网络结合的方法研究开采沉陷的预测。
The calculation of maximum ground movement and deformation values is an important link in mining induced subsidence prediction.
地表移动与变形极值计算是开采沉陷预计的重要内容。
In China, with coal resource mining in deep-lying being developed, therefore, the main technology problems about prediction and control of surface subsidence are brought out.
随着我国煤炭资源的开采向深部延伸，带来了地表沉陷预测与控制等主要技术难题。
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