合肥工业大学学报杂志社 关键词:分形； 大坝监测数据； 非线性； 变维分形 [gap=809]Key words:fractal dimension； observed data of a dam； nonlinearity； variable dimension fractal
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为了澌溪河水库大坝的安全建设和运行，对大坝监测数据进行研究非常重要。
Investigation on the monitor data of dam is very important to the safety build and running of Sixihe reservoir dam.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
TCA测量机器人对大坝外部变形监测，具有精度高、工效快、获取的数据准确可靠等优点。
The TCA measurement robot is characterized by high accuracy, good efficient and reliance and nicety of acquired data in dam outer deformation monitoring.
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