Through design of the statistical weighting algorithm based on BP neural network, the data fusion model will be established.
通过设计基于BP神经网络的统计加权算法，建立数据融合模型。
The magnetic sensor data fusion model suitable for the detection of pipeline damage was established and classified into four levels.
建立适用于油管损伤检测的磁性传感器信息融合模型，并将信息融合模型分为四级。
For eliminating above influence, the data fusion between leaf density and imaging distance was processed by using BP artificial neural network and data fusion model.
为了消除上述影响，根据数据融合系统模型，采用BP人工神经网络对树叶稀密程度与成像距离进行数据融合处理。
Based on hierarchy of information fusion being corresponding with function of fault diagnosis, it puts forward a data fusion model for fault diagnosis of rotating machines.
将信息融合的层次与故障诊断的功能相对应，提出了旋转机械振动故障诊断的信息融合模型。
Aiming at the problem of traditional intrusion system, such as high false alert rate, alert torrent, alert isolation, a data fusion model in distributed intrusion detection is put forward.
针对传统的入侵检测系统存在的误警率高、存在告警洪流、告警孤立等缺点，引入了数据融合方法，提出了一个分布式入侵检测中的数据融合模型。
Its display model supports interactive 3-d, data fusion, multiple data views, direct manipulation, collaboration, and virtual reality.
它的显示模型支持交互式3 - D、数据溶合、多个数据视图、直接操作、协作和虚拟现实。
An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
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。
In this paper, data fusion technique is used to wireless location, and the model and performance of data fusion based wireless location are researched in detail.
论文将信息融合应用于无线定位之中，对无线定位的信息融合模型进行了深入的研究。
The definition, fundamental, fusion levels, process model, fusion methods of data fusion are summarized firstly.
首先对数据融合的定义、基本原理、融合层次、功能模型、融合方法等几个方面进行了综述。
This paper advances an invasion detection model in the network security based on multi-sensor data fusion, and introduces in detail the structure of invasion detection system.
提出了网络安全中基于多传感器数据融合技术的入侵检测模型，并对入侵检测系统的体系结构进行了详细介绍。
At the same time it's described utilizing the distributed twine judgment model of data fusion technology, thus make it possible to obtain the study state of network learner efficiently.
同时运用数据融合技术中分布式缠绕判决模型进行描述，从而使有效地获取网络学习者的学习状态变为可能。
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。
Then it proposes a multi-sensor cooperation model of intrusion detection data fusion.
在此基础上给出了一个多传感器入侵检测数据融合的合作模型。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
Analyses the necessity and the feasibility of that the multi-sensor data fusion technology was applied in VTS. Putting forward the data processing model.
此文分析了多传感器数据融合技术在VTS中应用的必要性和可行性，提出了应用于VTS中的数据融合处理模型。
Then, a multi-level and multi-hierarchical blackboard model is brought forward, which can be applied to situation assessment of data fusion.
然后提出了一种用于数据融合中态势评估部分的分级多层黑板模型；
The Barrier Penetration Model has been used to calculate the heavy ion fusion cross section and it does give a good description of the experimental data in existence.
本文利用势垒穿透模型计算重离子融合反应截面，我们发现理论计算结果同现有的实验数据符合得相当好。
Centralized optimal weight fusion algorithm is raised to improve the distributed inspection data characteristic in this article, algorithm model and deduction of formula are available.
提出了一种改善分布式检测数据性能的集中式最优加权融合算法，建立了该算法的数学模型，进行了严格的算法推导与实例论证。
It presents a new model for network fault management based on data fusion and data mining by defining and discussing the association rule and the frequent episodes.
并通过定义与深入分析故障告警中的关联规则和情节规则，提出了一个基于数据融合和数据挖掘技术的网络故障管理的架构模型。
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。
In order to overcome the disadvantages of single model for wear pattern recognition of engine, a multi-intelligent model based on the data fusion technology was proposed.
针对单一的智能模型在发动机磨损模式识别中的局限性，提出了一种基于数据融合技术的多模型磨损模式识别方法。
In recent years, the research points of all researchers in countries mainly centralize on improvement of the model, filtering algorithm and data fusion technology aspects.
近年来各国研究者对交互式多模型算法的研究重点主要集中于对模型、滤波算法以及数据融合技术等方面的改进。
A conceptual model to solve those problems by means of fuzzy logic technique, data fusion technique etc. is presented in this paper.
提出了采用模糊技术与数据合成技术等相结合来解决上述问题的概念模型。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
Focused on fault diagnosis, a grey fusion method and a fuzzy fusion method are proposed based on data fusion and criteria fusion. Then the parallel decision fusion model is presented.
针对故障诊断过程，在数据融合与规则融合基础上，提出了灰色融合和模糊融合两种信息融合方法，并给出了并行决策融合模型。
Take the model of laser range finder based on synchronized scanner as example, show how to use data fusion method in the process of sensor model designing to get more robust output.
以激光同步扫描测距传感器的数学模型分析为例，介绍了在传感器数学模型设计过程中采用数据融合的思想，以使得传感器的输出更加可靠的过程。
The fuzzy variable recognition model of multi-sensor data fusion system is established, and then the model is applied to multi-sensor data fusion system for parts recognition.
建立了多传感器信息融合系统中的可变模糊识别模型，把可变模糊方法应用到多传感器信息融合工件识别中，并用一个具体的实例验证了该方法的合理性与可行性。
The 330mw simplified unit model, running in sliding pressure condition with a large load variation is constructed by means of the mechanism analysis and data fusion methods.
该文采用机理分析和数据拟合的方法，建立330MW机组滑压运行下大负荷变化范围内的模型。
Further, the dynamic traffic data fusion technique based on the GA-BP Model is studied for the dual-source and triple-source dynamic traffic data.
并重点研究了基于遗传—bp神经网络组合模型的二源、三源动态交通流数据融合技术。
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