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基于神经网络深基坑桩排支护及地表沉降研究
Study on structure design and ground settlement in deep foundation pit based on artificial neural networks
【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 .
【Abstract】 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.
【关键词】 人工神经网络;
深基坑;
参数设计;
地表沉降;
【Key words】 artificial neural networks; deep foundation pit; parameters design; ground settlement;
【Key words】 artificial neural networks; deep foundation pit; parameters design; ground settlement;
- 【文献出处】 沈阳工业大学学报 ,Journal of Shenyang Polytechnic University , 编辑部邮箱 ,2001年01期
- 【分类号】TU473.2
- 【被引频次】20
- 【下载频次】91