基于神经网络深基坑桩排支护及地表沉降研究

摘要

Based on artificial neural networks theory, the multi-level neural networks for structure design and ground settlement are builded to design and optimize support parameters. The results show that the multi- level neural networks is of high reliability, very high practical value and wide application future.%基于人工神经网络原理，构筑深基坑桩排支护设计及地表沉降的多级神经网络，对深基坑桩排支护设计的参数进行设计和优化，对地表沉降进行分析.应用结果表明，该方法可靠性强，有较高的实用价值和应用前景.