多模型融合,multiple model fusion
1)multiple model fusion多模型融合
1.A multiple model fusion method for satellite orbit determination based on model probability was researched.针对实际定轨系统中存在的不确定性和非线性性,提出了一种基于模型概率的多模型融合定轨方法。
英文短句/例句

1.The multi-platform Imm fusion alogrithm without knowledge of target maneuver目标机动性未知时的多平台交互式多模型融合算法
2.The Application and Research of IDS Model Based on Multi-technique Fusion;基于多技术融合的IDS模型研究与应用
3.Radar Fusion Tracking Algorithm Based on Multi-model Time Aligning基于多模型时间配准的雷达融合跟踪
4.Method of Multi-Agent Decision Fusion Based on TBM Model基于TBM模型的多Agent决策融合方法
5.Multi-feature vague fusion model for image classification一种图像分类的多特征vague融合模型
6.Multiangular and Multiband Fusion of Narrowband Signal Based on GTD Model基于GTD模型的多视角多波段窄带雷达信号融合
7.A Model of Multiple Neural Network Fusion Based on Choquet Fuzzy Integral;基于Choquet模糊积分的多神经网络融合模型
8.Multi-band Data Fusion Combining Basis Pursuit and AR Model Interpolation综合基追踪和AR模型内插的多频带数据融合
9.A score fusion algorithm based on the multivariate polynomial model基于多变量多项式模型的多模态生物特征分数层融合算法
10.Data Fusion Method and Model Study Based on Multi-Sensor;基于多传感器的数据融合方法和模型研究
11.The Modeling of Wood Drying Schedule Based on Mult-model Data Fusion Modeling Algorithms;基于多模型数据融合算法的木材干燥动态建模研究
12.Research of cross-media information retrieval model based on multimodal fusion and temporal-spatial context semantic基于多模态融合和时空上下文语义的跨媒体检索模型的研究
13.Research on Information Fusion Theory Based on Multi-Sensor for Network Environment and Their Applied Models基于网络环境的多传感器信息融合理论及应用模型研究
14.A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules.应用多分类器融合规则,建立了供应链伙伴选择的决策模型和方法。
15.An Automatic Traffic Incident of Freeway Detection Algorithm Based on Dynamic Traffic Model and Multi-information Fusion;基于动态交通模型和多信息融合的高速公路交通事件检测算法
16.Unsupervised Context-based Fused Segmentation of SAR Image Based on Multiscale Markov Model;多尺度Markov模型与SAR图像上下文信息融合无监督分割
17.Multi-model Condition Monitoring and Fault Prediction Base on Data Fusion;基于数据融合技术的多模型状态监测与故障预报
18.Study of Prediction Model of R in Sintering Process Based on Multisensor Data Fusion;基于多传感器数据融合技术的烧结矿碱度预报模型的研究
相关短句/例句

multi-model多模型融合技术
1.Extraction of comprehensive information of landslide with the fusion technique of multi-sensor and multi-model;应用多传感器多模型融合技术提取滑坡综合信息
3)Multi-model fusion algorithm多模型融合预测
4)multiple-model fusion filtering多模型融合滤波
1.Then based on the primary isolation result,the fault is accurately located by the multiple-model fusion filtering algorithm,and the fused state and fault estimates are obtained as well.在初步分离结果的基础上,利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
5)space time multi mode fused model时空多模式融合模型
1.A practical modeling method of space time multi mode fused model(MM model) is proposed in this paper.给出了时空多模式融合模型(MM模型)的实用建模方法,利用华北地震和北京SARS 2个时空数据集对MM模型进行了建模应用和性能评价,与单纯神经网络模型相比,MM模型的预测准确性与预测趋势变化的能力均有所提高。
6)Fusion model融合模型
1.<Abstrcat>The effects of GPS signal errors on mobile robot positioning accuracy were studied and a fusion model by blending GPS and odometry data was presented.分析了GPS信号的误差对移动机器人定位精度的影响,提出了GPS信号与测距法的融合模型。
2.To solve this problem, a concept which combines GPS and mobile-communication-ne twork-based MPS was adopted, and the BP neural network was used, thus constructi ng a vehicle positioning fusion model of GPS and MPS positioning information.针对常规的GPS定位方法在大城市中容易丢失信号的问题 ,提出采用GPS与基于移动通信网络的定位技术 (MPS)相结合的思路 ,利用反向传播 (BP)神经网络构造GPS与MPS定位信息的融合模型 ,并采用动量法和学习率自适应调整的策略来解决BP算法收敛速度慢和局部极小点的问题 。
3.In this paper,according to the orbit parameters estmated from nonlinear fusion model,we present a method to assessing accuracy of orbit parameters,using Monte Carlo method,basing on separating model errors and think over its effecting on accuracy of orbit parameters.针对处理测量数据的非线性融合模型所估计出的弹道参数 ,在分离出模型误差的基础上 ,考虑了模型误差和随机误差对弹道估计精度的影响 ,并利用MonteCarlo的方法评估经融合处理所得弹道的估计精
延伸阅读

AutoCad 教你绘制三爪卡盘模型,借用四视图来建模型小弟写教程纯粹表达的是建模思路,供初学者参考.任何物体的建摸都需要思路,只有思路多,模型也就水到渠成.ok废话就不说了.建议使用1024X768分辨率 开始先看下最终效果第一步,如图所示将窗口分为四个视图第二步,依次选择每个窗口,在分别输入各自己的视图第三步,建立ucs重新建立世界坐标体系,捕捉三点来确定各自的ucs如图第四步,初步大致建立基本模型.可以在主视图建立两个不同的圆,在用ext拉升,在用差集运算.如图:第五步:关键一步,在此的我思路是.先画出卡爪的基本投影,在把他进行面域,在进行拉升高度分别是10,20,30曾t形状.如图:第六步:画出螺栓的初步形状.如图第七步:利用ext拉升圆,在拉升内六边形.注意拉升六边行时方向与拉升圆的方向是相反的.之后在利用差集运算第八步:将所得内螺栓模型分别复制到卡爪上,在利用三个视图调到与卡爪的中心对称.效果如图红色的是螺栓,最后是差集第九步:阵列第10步.模型就完成了来一张利用矢量处理的图片