Sea clutter impacts seriously on the effect and efficiency of maritime surveillance radars. The research on sea model will benefit optimum detection algorithm design and performance prediction.
工作于海洋环境下的雷达面临较严重的海杂波的影响，海杂波统计模型的研究对最优检测算法设计和雷达性能预估有重要作用。
This paper analyzes and compares the existing situational awareness methods and proposes a network security situational awareness model based on log audit and performance correction algorithm.
文章分析和比较了目前的安全态势评估方法，提出了一种基于日志审计与性能修正算法的网络安全态势评估模型。
From mathematical model of target tracking, Performance of target tracking is impacted by three main factors of object state transition model, filtering algorithm and object modeling technique.
由目标跟踪的数学模型得出，影响目标跟踪性能的三个主要因素为目标状态转移模型、滤波算法和目标建模技术。
This paper compares a new scheme for parallel video servers with some other schemes and analyzes its performance , striping policy, service model and concurrent-push scheduling algorithm.
把一种新的并行视频服务器方案与其它几种方案进行了比较，并具体研究了其性能和这种视频数据的分割策略、服务模式及并行推的调度算法。
The evolutionary algorithm is introduced into the design of COVQ to achieve a significant improvement of VQ performance for a given noisy channel status model.
该算法在给定信道状态模型和存在信道噪声的情况下，可以有效地提高矢量量化器的性能，实现了信道最优矢量量化器的设计。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
Based on exhaustive algorithm, a new algorithm is presented as detectors generating method in the negative selection model, including its design, performance analysis and experiment.
研究的重点是负选择模型中初始检测器集的生成算法，在穷举法的基础上提出了一个新的检测器生成算法，包括算法的设计、性能分析和试验。
In this article, the authors first analyse the flaws of former studies, then propose a global performance cost model and design a algorithm for initial entity partitioning.
论文首先分析了过去对该问题研究的不足，提出了一种综合性的系统代价度量标准和系统性能改善原则，并在此之上提出了一种初始实体划分算法。
This paper proposes a new algorithm to boost performance of probabilistic reasoning model(PRM) face recognition methods.
该文就是基于这个思想提出了新的人脸识别算法，即加强概率推理模型。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
Absrtact: in order to improve the performance of classifiers of SVM, this paper introduces ant colony algorithm to guide the selection of SVM model parameters with RBF kernel.
摘要：为了提高SVM的分类器性能，提出使用蚁群算法来指导sVM模型参数的选择，并针对采用RBF作为核函数的SVM进行了实验。
To analyze the influence of time - delay on system performance, a parallelly triggered delaying model is induced and relevant algorithm is designed based on FIFO data structure.
考虑到时延对系统性能的影响，该文归纳出一种并发延时模型，并利用FIFO型数据结构设计了相应的并发延时算法。
By establishing grid resources performance measured-matrix, the paper constructed a job scheduling model, and gave a specific job scheduling algorithm based on this model.
通过建立网格资源性能量化矩阵，构建了一个作业调度模型，并基于此模型给出了一个具体的作业调度算法。
In order to improve the performance of ACO algorithm, an ACO algorithm with the dynamic parameter decision model was presented in this paper.
为使蚁群优化算法在应用中发挥最佳的寻优性能，提出带有动态参数决策模型的改进蚁群优化算法。
The algorithm was applied to estimating the model parameters of coal yield prediction by using its global optimization performance, and a high precision model was founded.
利用遗传算法的全局寻优特点，将它应用于模型参数估计，建立了精度更高的煤炭产量预测模型。
The algorithm achieves a significant improvement of COVQ performance for a given noisy channel status model over other conventional VQ design methods, as confirmed by experimental results.
采用该算法，在给定信道状态模型和信道噪声情况下，可有效地提高矢量量化器的性能，仿真实验结果表明该算法可获得比传统算法更优的性能增益。
The performance of algorithm will be improved by using perturb model based Cauchy distributing and Tsallis accept rule.
算法通过使用基于Cauchy分布的扰动模型和Tsallis接收准则来提高模拟退火算法的性能。
As a model-based control algorithm, the performance of controller will be hard to be improved only by re-tuning the parameters of controller if there is serious mismatch between model and plant.
作为基于模型的优化控制算法，如果模型预测控制算法的预测模型与实际对象的失配程度很严重，则仅靠整定控制器参数将难以改善控制器性能。
The problem model that satisfied with the practical requirements and efficient test-sheet composition algorithm with high performance play key roles for computer-aided test system.
符合实际组卷需求的组卷问题模型和高效优质的组卷算法是实现计算机自动组卷的关键。
The experiment results proved the algorithm achieves good performance, provided accurate traffic volume data for the FHWA model.
从实验结果可以看出，算法达到了很好的效果，为FHWA模型提供了准确的车流量数据。
Though choosing the experimental results as the learning sample, the performance predictive model of EDM micro-and-small holes is proposed, with the BP algorithm of artificial neural network.
采用人工神经网络的BP算法，以电火花微小孔加工工艺参数正交实验的结果作为神经网络的学习样本，建立电火花微小孔加工多目标工艺参数的预测模型。
The experimental results show that the performance of text categorization model based on entropy is a relatively stable algorithm, and prove the effectiveness of the algorithm.
实验结果表明基于信息熵的文本分类模型是一种比较稳定的算法，证明了算法的有效性。
The response surface approximation models are used to replace the original complex vehicle performance model, the optimization is conducted using a sequential quadratic programming algorithm.
通过响应面近似模型的优化，完成了高超声速巡航飞行器的多学科设计优化。
The digital simulative results show its good performance of estimation. It is compared with differential equation model-based least square algorithm and all-ware Fourier algorithm.
通过数字仿真计算验证了改进后算法的优良估计性能，将之与基于微分方程模型的最小二乘法、全波傅里叶算法作了比较。
Finally, the experimental results show that the classification model based on mutual information can effectively improve forecast precision and accuracy performance of classification algorithm.
经实验证明，基于互信息量的分类模型可以有效地提高分类算法的预测精度和准确率。
Finally, the experimental results show that the classification model based on mutual information can effectively improve forecast precision and accuracy performance of classification algorithm.
经实验证明，基于互信息量的分类模型可以有效地提高分类算法的预测精度和准确率。
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