• Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.

    第3章研究和分析了基于小波的图像复原算法,包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。

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  • The feasible model set method is proposed to reduce the computation burden of multi-model algorithm.

    为克服多模型方法计算量大的缺点,采用可行模型集合方法,给出了可行模型应满足的必要条件。

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  • This paper presents an interactive multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target.

    给出了一种利用自适应转弯速率模型的IMM跟踪算法,可以用于机动目标的跟踪中。

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  • The fuzzy neuron non-model algorithm and the NPID control algorithm are adopted to design the control systems for oil temperature and pressure.

    利用模糊神经元非模型算法和NPID控制算法设计了油温控制系统和油压控制系统。

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  • For the situation with dead time and constraints, a control strategy of increment model algorithm was developed using goal programming as optimal strategy.

    针对纯时延和有约束的情况,应用目标规划作为优化策略,提出了一种增量型模型算法控制策略。

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  • The basic idea of the variable-structure multiple model algorithm is expatiated. A variable-structure IMM algorithm for tracking a maneuvering target is studied and designed.

    将当前统计模型和变结构多模型估计算法相结合,阐述了变结构多模型算法的基本思想,研究和设计了一种用于跟踪机动目标的变结构交互多模型算法。

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  • An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.

    提出了一种基于残差的自适应多模型算法,其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。

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  • This paper discusses a model algorithm for composite nonsmooth optimization problems and proves that the algorithm holds global convergence and in the meantime the convergent rate is superlinear.

    提出复合非光滑优化问题的一类算法,并证明这种算法保持全局收敛性且敛速达到超线性。

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  • Integrating the merits of user obvious feedback and user hiding feedback, a new user establishing model algorithm, namely a mix establishing model method based on vector space model is also proposed.

    综合用户显式反馈和用户隐式反馈的优点,本文还提出了一种用户建模的算法,即基于向量空间模型的混合建模方法。

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  • The paper proposed a Predicted-Error-Based Model Algorithm Control (PEBMAC) method.

    提出了一种基于预测偏差的模型算法控制方法。

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  • The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.

    自适应网格交互多模算法能够根据目标的运动模式,自适应调整系统各模型参数,从而实现对目标的跟踪。

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  • The system structure, control principle, mathematical model, algorithm software are discussed.

    文中论述了系统组成、控制原理、数学模型、算法软件等。

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  • A system of price prediction is established, which includes prediction model, algorithm and software of price and corresponding factors.

    建立价格预测系统。包括价格及相关因素的预测模型、算法及软件。

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  • This paper introduces the model, algorithm and selection of parameters for this network and presents experimental results.

    文中介绍了该网的模型、算法、参数选择,并给出了实验结果。

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  • The mathematical model, algorithm and flow chart are described.

    介绍了滴定分析模型、卡尔曼滤波算法及程序框图。

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  • The mathematical model, algorithm and flow chart are described.

    介绍了滴定分析模型、卡尔曼滤波算法及程序框图。

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