讨论了由历史试验数据确定先验分布的方法和多源信息的D—S证据融合方法。
The method of using history test datum to make prior distribution and d-s evidence fusion theory are discussed.
针对空中红外小目标难以识别且可信度低的问题，本文结合已有的识别算法，利用非平等D-S证据融合设计了一种小目标识别方法。
Due to the randomness and uncertainty of congestion prediction data, an algorithm based on rough set and D-S theory is proposed in this paper.
这个证据同样暗示着这个新星诞生源于一个矮小星系的撞击和融合。
The evidence also suggests that the star birth in NGC 4150 was sparked by a collision and merger with a dwarf galaxy.
阐述了基于D -S证据理论的多传感器信息融合算法，提供一种基于D - S理论的改进方法以解决融合信息的相关性问题。
A multisensor data fusion method based on Dempster-Shafer evidence theory is described, and an improved algorithm of D-S is put out to solve the dependent information in data fusion.
然后在各传感器图像中提取融合检测结果中各候选区域的多个图像特征作为进一步消除冗余信息的证据；
Then extracts the multiple features of these target candidate areas in fusion detection result from the two sensor images as the evidence to eliminate redundant information.
应用d - S证据理论对单次故障度进行有效融合，计算出连续故障度，连续故障度最大的线路就是故障线路。
It fuses single fault degree by D-S evidence theory and calculates continuous fault degree. The line of maximum degree is the fault line.
针对远距离低信噪比条件下目标检测难的实际问题，提出采用D - S证据理论的双色红外小目标融合检测方法。
Aim at the problem of detecting for distant small target with very low SNR, a method of two color IR small target fusion detection using D-S evidence theory is proposed.
采用D-S证据理论，提出了利用声激励和超声探头检测金属与非金属粘接状态的融合方法，并进行了验证分析。
This paper Studies and analyzes on data fusion for Ultrasonic adhesive detecting by D-S theory of evidence.
通过证据理论模块的信息融合，降低了虚警率，提高了检测率。
Through information fusion of the evidence theory module, false positives are decreased and the detection rate is improved.
决策级采用D - S证据理论的方法对特征级局部诊断的结果加以融合，得到最终的诊断结果。
The decision fusion level module USES D-S evidence theory to fuse the local diagnostic results of feature fusion level, then get the final diagnostic results.
本文以数据融合技术中的D -S证据理论为基础，将其运用于分布式入侵检测系统中，提出了基于D - S证据理论的网络入侵预警模型。
Based on D-S evidence theory in data fusion technology, this paper applies it to distributed intrusion detection systems and gives a network intrusion early warning model.
在目标识别级重点讨论了基于D - S证据理论的目标识别融合，通过性能分析可知该算法具有不需要先验概率和条件概率密度等优点。
In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.
本文提出了在模糊的条件下采用D - S证据理论将各参数的置信度进行融合，以确定属于PD雷达的置信度。
Parameters' confidence factors are fused with D-S evidence theory for ascertaining the confidence factor belonging to PD radar in fuzzy condition.
采用D-S证据理论的多规则数据融合技术，建立了车辆位置信息和方向信息判决规则。
The judging criteria for information on vehicle position and driving direction are established, using multi-rule data fusion technique based on Dempster-Shafer's evidence reasoning.
仿真结果表明用基于D—S证据理论的融合结论可以大大提高电缆故障类型判定的准确性。
Simulation shows that the accuracy that the fault type of the cable judges measure is improved greatly with the conclusion of fusion based on D-S evidence theory.
利用D - S证据推理理论对单个特征的识别结果进行融合，有效改进了识别效果。
Then D-S evidence theory is demonstrated, which gives an improvement in fusing the recognition results of separate features.
运用D S证据理论将用不同模糊方法得出的诊断结果进行融合。
The diagnosis results of fuzzy methods are fused based on D-S evidence theory.
为了解决多传感器信息融合中不同等级重要信息源数据的融合问题，在证据理论基本概念的基础上，引入证据权的概念。
For solving data fusion problem of inequably important information source in multi-sensor information fusion the concept of evidence weight is introduced based on basical concept of evidence weight.
本文以目标和诱饵的识别为背景、详细叙述了D-S证据结合方法的原理、融合模型和识别结果；
This paper deals with the recognition of target and decoy. D S evidence combination method is applied to recognize target and decoy.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
论文改进了应用证据理论进行信息时空融合诊断时基本概率赋值的构造方法。
The paper has improved the contexture methodology of basic probability of D-S Reasoning when its application in information temporal-spatial fusion.
针对信息融合中冲突证据的组合问题，提出一种新的利用均衡信度分配准则的冲突证据组合方案。
To solve the combination problem of conflict evidence in information fusion, a combination approach of conflict evidence based on proportional belief assignment criterion is presented.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
为了更好地进行水轮机调速器的故障诊断，利用D - S证据推理对不同的神经网络技术得出的结果进行数据融合。
In order to better estimate the fault diagnosis of the hydraulic turbine governing system, the D-S evidential reasoning is used for data fusion with the result of different neural networks.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
D-S evidence theory was applied in the multi-sensor data fusion, the generalized method of the data fusion was proposed and applied in the fault diagnosis of the hydraulic pump.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
D-S evidence theory is applied in the multi-sensor data fusion, the generalized method of the data fusion is proposed and applied in the fault diagnosis of the hydraulic pump.
最后采用基于证据理论的数据融合方法实现多源信息融合目标识别。
Thirdly, the data fusion method based on evidence theory is adopted to realize multi-source information fusion and object identification.
阐述了基于证据理论的信息融合算法，提供了一种证据理论的改进方法以解决D - S算法在实现过程中存在的失效问题。
A data fusion method based on evidence theory is described, and an improved algorithm of evidence theory is proposed to solve the invalidation of D-S's application in data fusion.
阐述了基于证据理论的信息融合算法，提供了一种证据理论的改进方法以解决D - S算法在实现过程中存在的失效问题。
A data fusion method based on evidence theory is described, and an improved algorithm of evidence theory is proposed to solve the invalidation of D-S's application in data fusion.
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