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首次将人工神经网络应用于隧洞开挖过程的支护时间预测中 ,并通过自编程序证明了该法的可行性 ,研究表明 ,该法不仅可以综合考虑各种因素的影响 ,而且可以十分有效地处理常规方法难以解决的问题。
It is the first time to apply artificial neural network to the prediction of support time in tunnel excavation process. The feasibility of this method is proved by self-programming. The results show that this method not only can comprehensively consider the influence of various factors, but also can be very effective To deal with conventional methods difficult to solve the problem.