三峡工程岩体爆破地震效应的神经网络模型

A neural network model of rock blasting earthquake effects in the Three Gorges project

在三峡工程兴建中，率先运用神经网络方法，建立了爆破地震效应的基于先验知识的ＢＰ网络模型。对三峡工程临时船闸基岩进行了现场爆破试验，以建立训练样本。首次提出了基于领域知识的神经网络的新构思和模型算法，具有相对于常规ＢＰ网络的明显优势。

Using the neural network technology, a prior knowledge based BP network model of rock blasting earthquake effects in the construction of the Three Gorges project has been put forward. Due to high accuracy of forecasting this model can meet the imperative necessities in the construction. The field experiments of rock blasting at the Three Gorges temporagry ship lock foundation have been performed to obtain the training samples. The prior knowledge based neural network model and its algorithm have for the first time been formulated. The results obtained from the blasting experiments show that the new network model has a decided advantage over the standard BP model.