基于模糊BP神经网络的深基坑支护方案优选

介绍了深基坑支护方案优选模型的建立过程及其实例分析。基于深基坑支护方案优选影响因素的模糊性和因素之间的关联性,笔者将模糊优选理论与神经网络理论相结合,在详细分析深基坑支护方案优选影响因素的基础上,建立了4层深基坑支护方案模糊BP优选神经网络模型,提出了模型参数和方案优选反馈计算的方法。应用该方法对北京市某广场大厦的基坑支护方案进行了分析,实例结果表明,采用该方法所进行的深基坑支护方案优选,获得令人满意的效果,是一种值得推广的方法。

Optimization of Supporting Plan of Deep Excavation Based on Fuzzy Back Propagation Neural Network

The establishing process of the optimized model for supporting plan of deep excavation is described and exemplified. Based on the correlation between fuzzy and influential factors in the opnmized schemes of supporting plan of deep excavation, the fuzzy opnmization is combined with neural network theory. After analyzing in depth the influential factors of optimized supporting plan of deep excavation, the optimization model for suppornng plan of deep excavation based on fuzzy back propagation neural network theory is set up. Furthermore, the methods of model parameters calculation are put forward. This method is used to analyze the schemes of supporting plan of deep excavation for a plaza in Beijing. The exemplified results indicate that the scheme gained is satisfactory and the method proposed is feasible for engineering.