摘要
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 .
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.
出处
《沈阳工业大学学报》
EI
CAS
2001年第1期79-82,共4页
Journal of Shenyang University of Technology
关键词
人工神经网络
深基坑
参数设计
地表沉降
桩排支护
artificial neural networks
deep foundation pit
parameters design
ground settlement
