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1.
?????鹹??????,???????????????????????????,??????????????????????3D????????,?????????????????????????????????,??????????????????????????仯,?????о????????????????????仯???????????????????????????ж??Ч??????????:????????????????????????,?????????????????????????Ч??????????????????ж??Ч?;???????????????????????,???????????????ж??Ч???????????????????Ч?;??????????????????????,???????в??????- ?????????????Ч?;???????????????????????,?????????????????????????Ч????????????ж??Ч???  相似文献   

2.
����Ԥ����Ч�ȵı����������Ԥ��   总被引:2,自引:1,他引:1  
??????????????????????????????Ч?????????????????????????????????????????????Ч?????????????????????????????????????????Ч????  相似文献   

3.
????·??Ч??????????????????????·??Ч?????????????????????????????????????????·??Ч?????г????????????????????????????????????????????????????б????о????????????????????????г?????????·??Ч????з?????????е????????????????????г????????  相似文献   

4.
??????AutoCAD???????????????????????????????Ч????????????????????????????????????????????????????Ч???????ObjectARX???????????????????????????????????????????????????????????????????????????????洢???????????????????????????????????????????????÷??????Ч??????????????????????????????????????????????????ε?????  相似文献   

5.
HVF������GPS��·��ЧӦ�о��е�Ӧ��   总被引:3,自引:0,他引:3  
????????Helmert????????????Vondrak????????????HVF??????????????GPS??·??Ч????о????????????????????????????÷???????????Vondrak?????????????????????????????????Ч????????????????е????????????????÷????????·????????????GPS??·??Ч?????????????????????Ч????????·??Ч??????????????????GPS??λ?????  相似文献   

6.
????????????????????????????????????????????????????仯???仯??????????????У??о??????????????????????????????????????????????С?????????????Ч??????????????????????????Ч??????????????÷?????????????????????????????????????????????????????????????????????????Ч??????????????????????????????????  相似文献   

7.
?????????????????????????????????????????????????????????????????з?????????????????????????????????Ч?????????????????????,?????Ч??????P????S????????????????е?????????????????????о???F-K?任???в??????????Ч????????????о????????????????????????????????????仯???Χ???90°??45°????F-K?任????????Ч?????????????????????????????????????????Ч???????档??????????????????????????????????????????????S????????????P???????????????????????????S???????????????????????????????????????????????????????????????С???????P???????  相似文献   

8.
?????????????????????????1997??11??8?????????????o????Ч?????????????????????????λ?????????Ч????????仯??????????????????????Ч?????????仯????????λ?????????????????????????Ч????????仯??????????λ????????????????????  相似文献   

9.
??????????????????????????????????????????????????????????????????????м???????????????Web Services??WS???????????????????????????????????Ч????????м????????????????????.NET???????????????Web?????????????????????м?????????Ч???????????????WS???????????????????Ч?????????????????  相似文献   

10.
??OpenMP??????????Intel Math Kernel Library10.2??????????????????????????????????????????Ч??????????????1?????????????????γ??????????????????OpenMP????????????洢???????????????????????С??2???????????????????????????????γ?????????MKL?????????????Ч?????3??MKL??????Ч???????OpenMP????4?????????OpenMP??MKL??????????????????????????????????Ч???  相似文献   

11.
Groundwater lowering is one of the most important countermeasures to avoid the risk of rainfall-triggered landslides. However, the long-term reliability of many drainage methods is often a matter of concern since the drains may easily get clogged. A new hydraulic-driven self-starting drainage method is presented in this paper. In the proposed Random Forest(RF) based robust design approach for the selfstarting drains, the datasets are generated using an automatically controlled numerical modeling technology. The deterministic analysis is carried out based on uncertain soil parameters and the specific designs selected using Uniform Design(UD). The ensemble of RF models is applied in the design process to improve computing efficiency. Safety requirements, design robustness, and cost efficiency are simultaneously considered utilizing multiobjective optimization. A straightforward and efficient framework that focuses on difficulties caused by an enormous design space is established for the robust design of the self-starting drains, and improved computation efficiency is achieved. The effectiveness of the proposed approach is illustrated with a case study, the Qili landslide in Zhejiang Province, China.  相似文献   

12.
GPS���ٶ�λ�в�̬��������򻯿���ⷨ   总被引:1,自引:1,他引:0  
???GPS?????λ??????????????????????????????????????????????M??????????????μ??????????????????????????????????????????????е????????????????????????÷??????п???????????????????????????  相似文献   

13.
设计了一种等价权函数为连续可变函数的抗差Kalman滤波,通过与现有常用抗差Kalman滤波方案比较,新设计的抗差权方案具有更优的抗差效果。  相似文献   

14.
????????????д?????????????????????????ζ?????????(UPF)?????????????????????????μ???????????ζ?????????(AR??UPF)???÷??????÷???????????????????????????????UKF??????????????????????Э????????????????????????????????·????????Ч??????????????????????????????  相似文献   

15.
???????Vondrak?????????????EKF??,???????GPS??????λ??????????????EKF??????????????????Vondrak??????????????????μ????EKF???????????????д???????λ????????????????EKF???????????????????????д???????????????EKF????????????????д?????????????????????????????????????п????????????????????Ч???  相似文献   

16.
??????????????????????????λ????????????????????24??1С????????????н???????????????????????????????λ??????????????????Ч??????????????С??????????ε??λ?????????????????????????????????????????????????????????Ч?????????????????λ?????  相似文献   

17.
????????????????????????????μ???????????????÷????????????????????в?????????κθ????????????????????????????????????????????÷??????к?????????  相似文献   

18.
???????????????????????и?????????С???????????????????????????????LS??SVM?????????????????????????????????????????????????????????????μ???LS??SVM??????????????γ??????LS??SVM??????????????д???????????????????Ч????  相似文献   

19.
����������С���˷���   总被引:1,自引:0,他引:1  
???????е???????????????к??д??????????????????????С?????????????M???????????????????????С??????????в??????????????в??????????????????????????????????????С?????????????????С?????????????????м?????????????÷???????????  相似文献   

20.
根据卡尔曼滤波理论以及抗差理论,本文推导出了相邻历元误差相关的抗差卡尔曼滤波模型,其对观测值中含有粗差有良好的抗差性。通过对含有粗差的变形监测数据分析,与相邻历元误差相关的卡尔曼滤波模型进行比较,采用本文构造的抗差卡尔曼滤波模型处理数据,无论是否有粗差存在观测值里,变形计算结果与实际结果大体一致,粗差对计算结果的影响不敏感。在对变形监测数据分析时,可得出卡尔曼滤波方法估计的状态向量,没有寄存大量的以往观测数据,而是使用最近的观测数据,经过不断的预测和改正,把新的状态展示在系统中。  相似文献   

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