隧道岩土是一个复杂的综合系统,各种参数具有很大的不确定性,这给我们判定其工程性质和参数带来了困难.BP神经网络则是处理复杂系统的有效工具,它具有广泛的适用性,不但能较好地拟合已知数据,而且还具有良好的预测功能.借助MATLAB的实用工具箱,用户可以不再考虑复杂的编程过程而更专注于算法.通过实例介绍了基于MATLAB的BP神经网络在隧道工程中的应用问题,探索了等差时间序列的数据处理和预报问题.认为利用其对隧道工程的测量数据进行处理和预测是有效的.
The rock and soil of tunnel is a complicated comprehensive system, various parameter has the very big indetermination, which bring us the difficulty to judge its engineering property and parameters. The BP neural network is the valid tool handling complicated system, it has the extensive applicability. It not only can match the known number goodly and have the good estimating function. With the help of the MATLAB practical tool box, the customer can no longer consider the complicated plait distance process but even be absorbed in the calculating way. From the application of MATLAB neural network in the tunnel engineering, we investigate the data processing of the gradation time sequence and forecast the problem, think that it' s a valid tool to measure data and estimate the trend in tunnel engineering.