三峡永久船闸高边坡开挖变形智能预测

将人工神经网络与遗传算法相结合，提出了一种用于预测边坡变形智能化的方法－进化神经网络方法，它应用遗传算法搜索最优的神经网络模型来描述岩体参数与岩体变形之间的非线性关系，进而在全局范围内进行岩体力学参数的最优辨识，并以此参数Ｅ计算边坡变形，将其应用长江三峡工程高边坡的开挖变形预测，取的较好的效果。

Intelligent Prediction of Excavation Displacement of the Navigation Lock Slope in Three Gorges Project

An intelligent method-evolutionary neural network for predicting displacement of slopes by combing genetic algorithms and artificial neural network is proposed which uses the neural network whose architecture is determined in global optimum by genetic algorithm to describe the relationship between the rock parameters and the displacements produced due to excavation displacement was calculated using the obtained parameters. As an example it is used to predict the excavation displacement of the navigation lock slope in the Three Gorges Project and the results are satisfying.