Based on the data fusion theory of multi-sensor, a kind of method of more cycle measure and data fusion is suggested.
依据多传感器数据融合原理的多周期检测数据融合处理方法，对滤除采样中的干扰信号、提高端面侧摆检测的准确性均十分有效。
Based on the sensing characteristics of TFBG different from those of FBG, we carry out a more accurate estimate on the measurands using data fusion theory.
根据TF BG所体现出来的不同于fbg的传感特性，利用数据融合理论对被测量进行了更加准确的估测。
This paper presents a method of solving the problem of network study pattern recognition based on data fusion theory and mobile agent (MA) technology in view of network study factors.
从分析网络学习因素的角度出发，提出了利用数据融合理论和使用移动代理技术解决网络学习模式识别的问题。
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.
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。
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.
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。
This article briefly analyzes the Multisensor Data Fusion(MSDF) technology theory, as well as its research techniques.
简要分析多传感器数据融合技术的理论及研究方法。
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.
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。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
It is proved that the rough set theory there is important application value in the domain of data fusion.
实践表明粗糙集理论在数据融合领域具有重要的应用价值。
Multi-sensor data fusion has attracted a wide spread attention, its theory and methods have been applied to a lot of research fields in recent years.
近年来，多传感器数据融合技术已受到广泛关注，它的理论和方法已被应用到许多研究领域。
Thirdly, the data fusion method based on evidence theory is adopted to realize multi-source information fusion and object identification.
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。
A method in which the data fusion technique based on D-S theory is applied to the ground antiaircraft firepower cells to select the jamming means for anti-missile defense is presented.
提出一种把基于D - S理论的数据融合技术应用于地面防空火力单元选择干扰手段进行反导防御的方法。
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.
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。
An information fusion model for identification, diagnosis, estimation and forecast of formation damage using the data fusion technique and the uncertainty decision theory was established.
应用信息融合技术与不确定性决策理论，构建了对油气储层损害进行识别、诊断、评价和预测的信息融合模型。
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。
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
This paper Studies and analyzes on data fusion for Ultrasonic adhesive detecting by D-S theory of evidence. The result shows that the fusion method is feasible.
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。实验证明，提出的方法是可行的。
The atomic and molecular data on physical processes in fusion research are described. These data will be confirmed by experiment and theory in the future.
本文主要描述了聚变研究中所需要的一些原子和分子物理过程的数据，这些数据有待今后在实验和理论研究中加以确定。
A fuzzy theory based adaptive data fusion algorithm is used.
采用一种利用模糊理论的自适应数据融合算法。
Advance a new theory that use some technological methods of data fusion for reference in geophysical inverse.
提出在地球物理学反演中可借鉴数据融合理论的某些技术方法。
To take advantage of redundancy information, this paper gives a new method that implement the output data fusion of integrated neural network based on the D-S evidence theory.
利用系统的冗余信息，提出了基于D - S证据理论对集成神经网络的输出进行融合的方法。
The theory method of multi-sensor data fusion is studied deep. And more, the estimate theory of data fusion is applied concretely to the theodolite with the aim of prognosticating the object state.
深入研究了多传感器数据融合的理论方法，并实验研究了数据融合的估计理论在光电经纬仪中的应用，目的是实现对目标状态的预测。
The main purpose of this paper is hoping to make some progress in three directions under the condition of limited data resources, by means of multi-sensor fusion theory analysis.
本文研究的主要目的，是通过对多传感器融合理论的分析和总结，在资源受限的大前提下，以期在三个方面取得相应的进展。
The generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theory analysis and application.
研究遥感数据像素级融合统一模型及相应的实现技术具有重要的理论和应用价值。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
According to the requirements of multi-sensor data fusion in robot navigation, a novel, fuzzy similarity-based fusion algorithm is given and its theory and application in robot navigation is studied.
着眼于机器人导航中多传感器数据融合需求，提出了一种基于模糊贴近度的数据融合新算法，研究了它的原理及其在机器人导航中的应用过程。
A new modeling method of GM (1, 1) was proposed based on the research of grey theory and adaptive data fusion. The whole modeling procedure of this method was established.
基于灰色理论和自适应数据融合技术的研究，提出一种基于自适应数据融合的新型灰预测GM(1,1)模型，并对整个建模过程进行了理论推导。
An interactive algorithm of two-level data fusion based on evidence theory is presented. Different information-source data received by the data fusion system are classified in detail.
在充分利用信息处理中心的人工情报和其它信息源数据的基础上，提出了基于证据理论的交互式二级融合算法。
An interactive algorithm of two-level data fusion based on evidence theory is presented. Different information-source data received by the data fusion system are classified in detail.
在充分利用信息处理中心的人工情报和其它信息源数据的基础上，提出了基于证据理论的交互式二级融合算法。
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