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fusion data
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  融合数据
     The inconsistence of SP data between behavior and behavior intention is a serious problem.The ar- ticle introduces the method of revises the SP data using the RP data.Then take Beijing as the example,estab- lishes the RP data models,the SP data model and the fusion data model,it carries on the analysis of model sensitivity.The results indicate:the mark of expense parameter is not logical in the RP data mode;
     针对SP数据存在的行为结果与意向结果不一致的问题,介绍了利用RP数据修正要SP数据的方法.以北京为例,建立了RP模型、SP模型和融合数据模型,并对模型的灵敏度进行了分析,结果表明,RP模型中费用变量的参数估计值符号与实际不符;
短句来源
     The fusion data model parameters' test are remarkable,the model elasticity is small,and its' sensitivity is deactivated.
     融合数据模型的参数检验较显著,模型的弹性小,敏感性被钝化.
短句来源
     Aiming at this fact, this paper presents a grey superior analysis norm by use of the character of the first fusion data to replace the precision lower radars data with the first fusion data per time, and then makes them fusion again.
     针对这一情况 ,本文提出一种基于一次融合数据为特征的灰色优势分析准则 ,把每时送入融合中心比较差的雷达数据用一次融合后的数据替换 ,再进行二次融合。
短句来源
     Bases on Bayes estimation theory,goes on consistency inspection to data,gained the best fusion data of multi-sensor,has improved the accuracy of the data.
     融合方法以Bayes估计理论为基础,并对数据进行了一致性检验,得到了多传感器最优融合数据,提高了数据的精确度。
短句来源
     Active Spatial Data Mining technology is used in the processes of alarm data fusion, data mining and knowledge discovery.
     其中主动空间数据挖掘技术主要体现在数据融合 ,数据挖掘和知识发现的过程中 .
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  “fusion data”译为未确定词的双语例句
     The Selection of Multisource Remote Sensing Image Fusion Data
     多源遥感图像融合的数据对象选择
短句来源
     To improve the precision of multisensor data fusion,data or track association becomes the key of target tracking filter.
     为了提高多传感器数据融合的精度,数据或航迹关联成为对目标跟踪滤波的关键。
短句来源
     The arithmetic idea of infrared sensor and radar tracking fusion is: getting solar by infrared image processing, time matching, synchronization fusion with radar data, updating object state by fusion data filtering.
     实现红外和雷达的融合跟踪的算法思想是:首先提取红外成像的目标质心用最小二乘估计产生一个时间上与雷达对准的拟质心测量,然后再与雷达进行同步数据融合,最后在把雷达和红外融合得到的数据作为测量值用于滤波目标状态更新。
短句来源
     There are three stages in information fusion: data fusion, character fusion and decision fusion. A lot of approaches to classifier fusion are decision fusion or experts mixture.
     信息融合包括三个阶段:数据融合、特征融合和决策融合,大量的分类器融合方法都是决策融合或者专家混合。
短句来源
     There are many optimization problems in modern information processing and fusion, for example, communication, control, signal processing, multi-source information fusion, data mining, artificial intelligence, biological genetic information processing, financial analysis, and decision support systems.
     现代信息处理、信息融合中存在着大量的优化问题,如通讯、控制、信号处理、多源信息融合、数据挖掘、人工智能、生物遗传信息处理、金融分析、智能决策支持系统等等。
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  相似匹配句对
     Data Fusion Technology
     数据融合技术
短句来源
     Data Fusion and Its Application
     数据融合及其应用
短句来源
     DATA
     数据
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  fusion data
A spectral preserve image fusion technique, Smoothing Filter-Based Intensity Modulation (SFIM), can produce optimal fusion data without altering the spectral properties of the original image if the coregistration error is minimal.
      
Thus, fusion energy with lowest radiation is predictable in terms of d + t fusion data.
      
Heats of fusion data on the pure components, eutectics and addition compound, determined by differential scanning calorimetry, show that there is an associative interaction between the two components forming the eutectic melt.
      
Heats of fusion data on the pure components, eutectics and addition compound, determined by differential scanning calorimetry, show that there is an associative interaction between the two components forming the eutectic melt.
      
Enthalpy of fusion data obtained from Mettler DSC-4000 was used to calculate the heat of mixing, entropy of fusion, Jackson's roughness parameter, excess thermodynamic functions, interfacial energy and radius of critical nucleus.
      
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In this paper,we generally review the fuzzy logical theory,and then a data fusion method based on fuzzy logical is shown. Using this method,we developed an target recognition and classification system applied at an intelligent robot with multi-sensor that we studied. Fusion data come from the robot's force sensor and thermal sensor. At the end of the paper,test results show that data fusion can make a progress on the performance of recognition.

本文在模糊集理论的基础上给出了利用模糊理论进行多传感器信息融合的一般化方法,并以一个实例,即,在我所自行研制的多感觉智能机器人上,利用其力觉和热觉传感器得到的信息,将两者融合,对机器人的抓取物分类。文章最后比较了融合前后的实验结果。

When multi radar track low altitude flying little targets simultaneously, as the influence of probe precision of radars themselves, low altitude clutter and electronic jamming factors, it usually makes some radars probe data imprecisely. This will make the precision of the fusion center data processing descend. Aiming at this fact, this paper presents a grey superior analysis norm by use of the character of the first fusion data to replace the precision lower radars data with the first fusion...

When multi radar track low altitude flying little targets simultaneously, as the influence of probe precision of radars themselves, low altitude clutter and electronic jamming factors, it usually makes some radars probe data imprecisely. This will make the precision of the fusion center data processing descend. Aiming at this fact, this paper presents a grey superior analysis norm by use of the character of the first fusion data to replace the precision lower radars data with the first fusion data per time, and then makes them fusion again. The simulation results indicate that the reliability and the tracking precision of the system can be improved further by using grey superior analysis to realize the second data fusion.

当多部雷达同时跟踪低空飞行的小目标时 ,由于各部雷达受到自身探测精度、低空杂波和电子干扰等因素的影响 ,易使部分雷达探测数据不精确 ,造成融合中心数据处理精度的下降。针对这一情况 ,本文提出一种基于一次融合数据为特征的灰色优势分析准则 ,把每时送入融合中心比较差的雷达数据用一次融合后的数据替换 ,再进行二次融合。仿真结果表明 ,应用灰色优势分析实现二次数据融合 ,可进一步提高雷达系统的跟踪精度和可靠性。

At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-sensor fusion system, which is model-based and used for rotating mechanical failure diagnosis. In the data fusion process, the fuzzy neural network is selected and used for the data fusion at report level. By comparing the experimental results of fault diagnoses based on fusion data wi th...

At present, multi-se nsor fusion is widely used in object recognition and classification, since this technique can efficiently improve the accuracy and the ability of fault toleranc e. This paper describes a multi-sensor fusion system, which is model-based and used for rotating mechanical failure diagnosis. In the data fusion process, the fuzzy neural network is selected and used for the data fusion at report level. By comparing the experimental results of fault diagnoses based on fusion data wi th that on original separate data,it is shown that the former is more accurate than the latter.

目前多传感器融合技术能够有效地提高精度和容错能力 ,所以它广泛应用于目标识别领域中。本文描述了一种基于旋转机械故障诊断多传感器融合系统 ,在数据融合处理中利用模糊神经网络 ,比较了采用基于数据融合实验结果和没有融合的原始数据 ,显然前者比后者更精确。

 
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