• An example of binary radar track fusion and a kind of model and algorithm for radar track fusion are presented.

    给出了一个双站雷达航迹融合的实例,得出了一套航迹融合模型和算法。

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  • An information fusion model of integrated navigation system based on neurons is proposed, and also an on line adaptive training algorithm of the weights of neuron is given.

    提出了一种基于神经元状态融合的组合导航系统信息融合模型,给出了神经元融合权重在线自适应学习算法。

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  • Bayesian fusion model is put foreword with a corresponding algorithm designed to forecast the oil reservoir distribution.

    针对油藏分布预测的问题,提出了一个贝叶斯网络融合模型并设计了相应的算法。

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  • The simulation and analysis on algorithm of multisensor track-to-track fusion is based on cross-variance functions, and analysis of the stability to model is presented.

    本文对基于互协方差的航迹融合算法进行了仿真分析,并对航迹融合模型的稳定性进行了探讨。

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  • Centralized optimal weight fusion algorithm is raised to improve the inspection characteristic of distributed parameter; algorithm model and deduction of formula are available.

    本文提出了一种改善分布式参数检测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。

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  • 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。

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  • 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。

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  • The amplitude-phase compensation model of multi-band radar signal fusion is analyzed and the new amplitude-phase compensation algorithm based on the ESPRIT is presented.

    分析了多雷达信号融合中的幅度相位模型,并基于旋转不变技术提出一种新的幅度相位补偿参数估计方法。

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  • Experiments show the superiority of local line model based fusion algorithm over traditional methods in enhancing the feature of interest and the quality of the fused image.

    实验结果表明,基于局部线模型的融合方法在增强感兴趣的特征和提高图像质最上优于传统算法。

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  • 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。

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  • 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。

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  • 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。

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  • Next the general method of applying fuzzy ARTMAP model to feature level fusion is also expounded and we put forward a learning algorithm with adaptive vigilance parameters for each cluster.

    继而研究了模糊artmap网络用于特征层融合识别的方法,并提出了一种网络警戒参数自适应调整新算法。

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  • According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.

    分别利用普通话情感语音库和德语情感语音库进行实验,结果表明,与几种传统融合算法相比,改进的排序式选举法能够取得更好的融合效果,其识别性能明显优于单分类器。

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  • According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.

    分别利用普通话情感语音库和德语情感语音库进行实验,结果表明,与几种传统融合算法相比,改进的排序式选举法能够取得更好的融合效果,其识别性能明显优于单分类器。

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