某电站引水隧洞围岩收敛变形预测

The prediction on convergent deformation of surrounding rocks of diversion tunnel of a hydropower station

针对引水隧洞围岩变形受地质、施工等因素综合影响的特点,引入人工神经网络理论,建立了隧洞收敛测值终值预测的BP网络模型,并应用MATLAB进行BP网络设计和程序编制.实例分析表明,利用所建立的BP网络模型进行围岩收敛变形预测,结果合理可行.

There are many characteristics like rock geology, construction, and other factors which influence the deformation of the diversion tunnel, so artificial neural network theory can be used by the way of establishing a tunnel measuring convergence value prediction model of BP network which is designed and programmed in MATLAB. Analysis shows that the prediction result is reasonably practicable.