基于人工神经网络的深基坑支护方案优选研究

A Study of Optimum Seeking Decision for Bracing Schemes of Deep Foundation Pit based on Artificial Neural Network

在分析目前多指标综合评价问题求解方法的基础上,研究采用基于MatLab工具箱的BP神经网络方法解决深基坑支护方案优选问题,并对训练样本对的选取提出了新的方法,且以一个算例来说明方法的可行性。

On the basis of analysis of solution to the multicriteria comprehen sive assessment problems, this paper adopts t he BP neural network based on toolboxes of Ma tLab to solve optimum seeking decision for bracing schemes of deep found ation pit, and presents a new method to select samples, at the end of this paper , a case study shows that the algorithm is feasible.