• We proposed an evolution network model considering pullulation and aging mechanism.

    提出了一个包含成长和老化机制的演化网络模型。

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  • Model image: This diagram shows the evolution of the largest network of Telenor iPhone users over time.

    模型图片:图片显示挪威电讯iPhone使用者中最大社交网络在一定时间内的演化。

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  • Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.

    用神经网络构造机器人周围环境及障碍物的描述模型,用免疫进化算法寻找最佳路径。

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  • An evolution model of energy resource supply-demand network was constructed to describe the actual energy resource demand-supply in China.

    通过构造一个简化的能源供需网络演化模型,从基本上刻画出中国目前的能源供需现状。

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  • Secondly, we have suggested a simplified game theory model for simulating the evolution of the urban public traffic network.

    其次,我们建议了一个简单的博弈模型来模拟城市公共交通网络的演化过程。

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  • The article expatiates on the process of the development and evolution of the network of green economy, and gives a push-drag model of the evolution of the green economy system.

    本文论述了绿色经济网络的形成与演进过程,并构建了绿色经济系统演进的推拉模型。

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  • Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.

    针对BP人工神经网络所存在的缺陷,结合差异演化算法,提出了基于DE - BP神经网络的旅游客源预测模型。

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  • The two mainly core of this article are as follows: Part I: Building a weighted complex network evolution model.

    本文主要的两个核心部分如下:第一部分:建立加权复杂网络演化模型。

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  • The unique feature of the network model was the ability to track the evolution of drying front and phase distributions during drying.

    与传统的连续介质模型相比,孔网络模型的特征是具有跟踪干燥过程中物料内部的干燥前沿和相分布的能力。

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  • The study of complex network model mechanism and evolution can reveal common law in nature, biology, engineering and human society.

    深入研究复杂网络建模机理和演化过程,可以揭示隐藏在自然界、生物界、工程界和人类社会界中的复杂系统的共同规律。

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  • From Semiotic dynamics, we find naming game model is related with the size of network and the time of evolution.

    从符号动力学角度观察,我们可以看到命名博弈与系统大小,演化时间有着十分密切的关系。

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  • The math model of reactive power optimization for distribution network is briefly introduced, which applies the adaptive differential evolution algorithm. Case calculation shows its good effect.

    简要介绍了配电网无功优化的数学模型,并采用自适应的微分进化算法作为无功优化算法,算例结果表明该软件应用效果良好。

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  • The math model of reactive power optimization for distribution network is briefly introduced, which applies the adaptive differential evolution algorithm. Case calculation shows its good effect.

    简要介绍了配电网无功优化的数学模型,并采用自适应的微分进化算法作为无功优化算法,算例结果表明该软件应用效果良好。

    youdao

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