• The test demonstrated that the proposed models and algorithms can be readily used to evaluate traffic congestions for megacities.

    验证过程表明所构建的评价模型和算法适用于特大城市的交通拥堵评价。

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  • The models and algorithms are discussed.

    文中讨论了模型和算法。

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  • Thirdly, research rural logistics network optimization models and algorithms.

    再次,研究农村物流网络优化的模型和算法。

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  • In chapter 4, we research models and algorithms of vehicle routing problems with stochastic time.

    第4章研究了随机旅行时间车辆路径问题的模型和算法。

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  • Firstly, this thesis summarizes and develops certain multi-level programming models and algorithms.

    本文首先对确定性多层规划建模及求解方法,进行了总结和拓展。

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  • Many models and algorithms established to optimize problems are complex and most have the nature of NP.

    物流配送是一项复杂的系统工程,其中许多优化问题所建立的模型和算法都很复杂,都具有NP难性质。

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  • With the example system, it demonstrated the correctness and validity of the proposed models and algorithms.

    通过对算例系统的求解,证明了该文所建模型和算法的正确性。

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  • Several traffic control methods, traffic control strategies, typical traffic models and algorithms are also discussed.

    对各种控制方法、控制策略、典型的交通网络模型及算法也进行了讨论。

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  • In this context, it develops time-varying od demands models and algorithms of urban road network based on dual sources data.

    在此背景下,本文提出了基于二源数据的城市路网动态od估计模型与算法。

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  • The research focused on models and algorithms. The limitation of traditional solution model and algorithm research was analyzed.

    分析传统求解模型及算法研究的局限性,提出对现有模型及算法进行动态集成的研究思路。

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  • Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.

    目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。

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  • Some new models and algorithms are used, they are: zero impedance branch, orthogonal transformations, and measurement error estimation etc.

    采用的新模型与算法有:零阻抗支路处理、正交化算法和量测误差估计等。

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  • The models and algorithms based on the non-linear dynamics have been shown the potential in understanding of biological evolution and ecology.

    而基于非线性关系的许多模型和算法也显示出在生物进化和生态学研究方面的巨大潜力。

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  • In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.

    文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。

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  • The computational results of numerical example and algorithm performance experiment verify the feasibility and effectiveness of models and algorithms.

    通过算例分析和算法性能测试,说明了模型及算法的可行性与有效性。

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  • With the emergence of new nature and requests, it is difficult to solve the power system optimization for the conventional optimization models and algorithms.

    在这种情况下,电力系统优化问题出现了很多新的特点和要求,采用传统的优化模型以及常规优化方法求解存在很大难度。

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  • But for instantaneous controllability of the electromagnetic mechanism, these mathematical models and algorithms are still relatively complicated in practice.

    但就实现机构的实时可控性而言,这些数学模型与算法还显得相对复杂。

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  • Constructing an accurate and stable text classifier is a key to text categorization. Many researchers put forward various text classifier models and algorithms.

    构建一个分类准确而且稳定的文本分类器是文本分类的关键,很多学者提出了不同的文本分类器模型和算法。

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  • The dependability-aware real-time scheduling models and algorithms proposed in this dissertation may provide some contributions to improve the dependability of MCRTS.

    本文对可信感知实时任务模型与调度算法进行了深入的研究和探索,为增强MCRTS可信性做出了有益的贡献。

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  • Based on the analysis of the existing arterial control models and algorithms, the tactics of establishing the offset models are put forward according to the probabilistic method.

    在对现有线控制模型和算法进行分析的基础上提出按照概率思想求解相位差参数的策略。

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  • Based on the analysis of the existing arterial control models and algorithms, the tactics of establishing the offset models are put forward according to the probabilistic method.

    在对现有线控制模型和算法进行分析的基础上提出按照概率思想求解相位差参数的策略。

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