期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
预测抗浮桩抗拔承载力数学模型研究 被引量:1
1
作者 唐孟华 曹绍林 《施工技术》 CAS 北大核心 2016年第S2期48-51,共4页
抗浮桩由于稳定性高、施工简易、适用范围广而被广泛运用于解决地下工程抗浮问题,但现阶段暂无有关抗浮桩单桩极限抗拔承载力的理论计算公式。基于广州某超算中心地下室工程抗浮桩的现场静载试验,运用Origin数据分析软件,对预测抗浮桩... 抗浮桩由于稳定性高、施工简易、适用范围广而被广泛运用于解决地下工程抗浮问题,但现阶段暂无有关抗浮桩单桩极限抗拔承载力的理论计算公式。基于广州某超算中心地下室工程抗浮桩的现场静载试验,运用Origin数据分析软件,对预测抗浮桩的极限抗拔承载力的数学函数模型进行讨论。拟合结果表明:数学函数模型外推法能较为准确地对抗浮桩单桩极限抗拔承载力进行预测,回归拟合的常用3种数学函数模型对单桩Q-s曲线拟合精度均较高,指数函数模型在预测极限抗拔承载力更接近实际值,能够为实际工程设计提供依据,为类似工程提供可靠参考。 展开更多
关键词 抗浮桩 单桩极限抗拔承载力 静载试验 数学函数模型外推法
下载PDF
改进的BP神经网络模型预测四川GDP 被引量:1
2
作者 万飞 龚庆凯 +1 位作者 支明刚 高峰 《宜宾学院学报》 2013年第6期35-39,共5页
运用TRAINGDX训练函数对标准BP神经网络进行改进.根据2012年《四川省统计年鉴》相关数据,利用影响国内生产总值(GDP)的6个主要因素,借助Matlab软件平台,建立了6∶5∶1的三层BP神经网络GDP预测模型,实现四川省GDP值的预测.改进后BP神经... 运用TRAINGDX训练函数对标准BP神经网络进行改进.根据2012年《四川省统计年鉴》相关数据,利用影响国内生产总值(GDP)的6个主要因素,借助Matlab软件平台,建立了6∶5∶1的三层BP神经网络GDP预测模型,实现四川省GDP值的预测.改进后BP神经网络预测相对误差在1%以内,仿真结果同模型外推法比较,预测精度较高. 展开更多
关键词 神经网络 BP算法 GDP 模型外推法
下载PDF
Inference of Reference Conditions for Nutrient Concentrations of Chaohu Lake Based on Model Extrapolation
3
作者 ZHOU Yuliang JIN Juliang +3 位作者 LIU Li ZHANG Libing He Jun WANG Zhesun 《Chinese Geographical Science》 SCIE CSCD 2013年第1期35-48,共14页
In the mid-eastern China,there are few or no lakes which are in the absence of anthropogenic disturbances,or their sediments remain undisturbed.As a result,the reference lakes distribution and paleolimnological recons... In the mid-eastern China,there are few or no lakes which are in the absence of anthropogenic disturbances,or their sediments remain undisturbed.As a result,the reference lakes distribution and paleolimnological reconstruction approaches usually are inappropriate to estimate lake reference conditions for nutrients.This yields the necessity of using the extrapolation methods to estimate the lake reference conditions for nutrients within those regions.The lake reference conditions for nutrients could be inferred inversely from the law of mass conservation,current lake nutrient concentration,and the loadings from watershed.Considering the scarcity of hydrological and water quality data associated with lakes and watersheds in China,as well as the low requirement of the watershed nutrient loadings models for these data,the soil conservation service(SCS) distributed hydrological model and the universal soil loss equation(USLE) were applied.The SCS model simulates the runoff process of the watershed,thereby calculating dissolved nutrients annually.The USLE estimates the soil erosion and particulate nutrients annually in a watershed.Then,with the loadings from atmospheric deposition and point source,the previous annual average nutrient concentrations could be acquired given the current nutrient concentrations in a lake.Therefore,the nutrient reference conditions minimally impacted by human activities could be estimated.Based on the proposed model,the reference conditions for total nitrogen and total phosphorus of Chaohu Lake,Anhui Province,China are 0.031 mg/L and 0.640 mg/L,respectively.The proposed reference conditions estimation model is of clear physical concept,and less data required.Thus,the proposed approach can be used in other lakes with similar circumstances. 展开更多
关键词 reference conditions soil conservation service universal soil loss equation total phosphorus total nitrogen Chaohu Lake
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部