查询词典 networks

Moreover, the synchronization of EAN is studied; the result shows that the stochastic networks are more poorly synchronized than their deterministic counterparts. These models can well mimic some real systems. Firstly, two dimensional random Apollonian networks and two dimensional EAN are maximal planar graphs, which may be helpful for designing printed circuits. Secondly, V-HDRAN can be mapped into the Yule process, which was inspired by observations of the statistics of biological taxa. From this perspective, V-HDRAN can find some applications in biological systems. Thirdly, all networks of this type consist of complete graphs; this particularity of the composing units can provide a comprehensive aspect to understand some real-life systems making up of complete graphs, such as movie actor collaboration networks, scientific collaboration networks and networks of company directors.

这些模型可以很好地描述现实系统，其中二维随机阿波罗网络与二维演化的阿波罗网络为最大平面图，这对印刷电路板等现实系统的设计有重要的借鉴作用；变体模型V-HDRAN的构建过程与Nature上发表的关于生物物种的形成过程之间存在一个一一对应的关系，这对生物系统的建模有重要的价值；另外，这类网络均由完全图组成，它们对由完全图组成的电影演员合作网、科学家合作网、公司董事网等由完全图构成的现实网络的建模有重要的理论意义和应用价值。

Through above study, the theoretical analysis of the inherent fault tolerance of feed-forward neural networks has been extended from hard-limit activation functions to differentiable activation functions; 2. By using above method, fault tolerance of discrete Hopfield feedback neural networks have been also analyzed. It means that the above method can be applied not only for feed-forward neural networks but also for feedback neural networks; 3. For the feed-forward neural network with the Sigmoid activation function, Chebyshev Inequality method was presented.

这项研究将以前仅限于对硬限幅作用函数前向神经网络固有容错性能的理论分析推广到具有可微作用函数的前向神经网络； 2 针对离散型Hopfield反馈神经网络，利用上面提出的方法，对其同样进行了容错性分析，得出许多有用的结论和计算公式，说明上面提出的方法不仅适用于前向神经网络，同时也适用于反馈神经网络； 3 针对具有Sigmoid作用函数的前向神经网络提出了一种切比雪夫不等式法。

Proceed from the principle of neural networks, the mechanism of mapping between input and output of neural networks was analyzed, and the BP algorithm for training the thresholds of neurons was derived. Based on the study to the distinguishability of input of networks, the effect of neural networks to distinguish-ability of characteristics was studied, and the optimizations of the structure of networks, learning rate, impulse factor, thresholds of neurons and initial weight of networks were completed. Through the experiments under fixed cutting regime and alternative cutting regime, the methods based on neural networks for tool wear monitoring were studied.

本文从神经网络的基本原理出发，研究了神经网络输入输出的映射机理，探讨了神经网络处理方法具有自适应性的原因；推导了神经元阈值学习BP算法；在研究网络输入特征可分性准则和特征敏感性准则的基础上，探讨了神经网络对特征可分性的作用；完成对网络结构参数、网络学习率和冲量因子、神经元阈值以及网络初始权值等参数的优化；并在固定切削用量和变切削用量条件下，对基于神经网络的刀具磨损检测方法进行了实验研究。

From the Internet to WWW, from the food cycle networks in the environment to the metabolism networks in the creatures' bodies,from the scientific research collaboration network to kinds of political networks,social networks and economic networks, from the large-scale network electronic network to the global traffic network, people live in a world full of varieties of complex networks, which makes the research of complex networks necessary.

从Internet到WWW，从生态环境中的食物链网到生物体中的新陈代谢网络，从科研合作网络到各种政治、经济、社会网络，从大型电力网络到全球交通网络，人们生活在一个充满着各种各样的复杂网络的世界中。这也使得研究复杂网络成为必要。

From the Internet to WWW, from the food cycle networks in the environment to the metabolism networks in the creatures bodies, from the scientific research collaboration network to kinds of political networks, social networks and economic networks, from the large-scale network electronic network to the global traffic network, people live in a world full of varieties of complex networks, which makes the research of complex networks necessary.

从Internet到WWW，从生态环境中的食物链网到生物体中的新陈代谢网络，从科研合作网络到各种政治、经济、社会网络，从大型电力网络到全球交通网络，人们生活在一个充满着各种各样的复杂网络的世界中。

There are four main topics in this paper:(1) improvement of BP networks algorithm;(2) improvement of BP networks structure, and applying the improved BP networks to the prediction of the time series with certain increasing or decreasing tendency;(3) using the BP networks to diagnose the vibration faults of steam turbines;(4) prediction on the cleanliness rate of steam condenser and the fuzzy diagnosis for condenser based on BP networks.

本文主要研究了四个问题：(1)完善和改进了BP网络的训练算法；(2)BP网络结构的改进研究，并将其应用于汽轮机故障这类有确定性递增趋势的时间序列的预测中；(3)BP网络应用于汽轮机的振动故障诊断研究；(4)基于BP网络的凝汽器清洁率的预测方法及模糊诊断研究。

The superficial microvascular networks were sparser, while the subpleural microvascular networks were denser. The superficial blood vessels and the interlobular blood vessels were mutual transitional, and the anastomosing between the superficial blood vessels with the subpleural vessels. According to the branching sequence of the subpleural arteriole, it could be divided into the arteriole, terminal arteriole, precapillary arteriole and capillary in turn. The subpleural capillary networks were mainly web-like, while small holes were also found on the cast. The honeycomb vascular networks were various in size and form at a low magnification. The outline of alveolus, alveolar sac, alveolar duct and respiratory bronchiole and terminal bronchiole, made of microvascular networks, could be found in the cut surface.

胸膜面浅层的微血管网稀疏，深层的胸膜下微血管网致密；胸膜面浅层的微血管与小叶间隔的微血管之间相互移行，与胸膜下微血管之间形成吻合连接；根据胸膜下微动脉连续分支的顺序，常可将其分为微动脉、终末微动脉、毛细血管前微动脉和毛细血管四级；胸膜下毛细血管网主要以网络状的形式存在，但在铸型上均可见数量不等的"小孔状"结构；低倍镜下肺实质内微血管网呈现大小不等、形态各异的蜂窝状结构，可以见到由微血管网构成了肺泡、肺泡囊、肺泡管和呼吸性细支气管以及终末细支气管等结构的轮廓。

First, the traffic flow time series chaotic feature is extracted by chaos theory. pretreatment for traffic flow time series, and the wavelet neural networks model was build by this. Second, the chaotic mechanism and the chaotic probability is described. Based on chaotic learning algorithm, and the wavelet neural networks fast learning algorithm of traffic flow time series is designed based on chaotic algorithm. Last, a single-step and multi-step prediction of traffic flow chaotic time series is researched by BP neural networks, wavelet neural networks and wavelet neural networks based on chaotic algorithm. The results showed that the wavelet neural networks predictive performance is better than the BP networks and the wavelet neural networks by the simulation results and root-mean-square value.

首先，通过混沌理论提取了交通流量时间序列的混沌特征，并在此基础上建立了小波神经网络交通流量时间序列模型；接着，阐述了混沌学习算法的混沌机理、混沌产生的概率，设计了基于混沌算法的小波神经网络交通流量混沌时间序列快速学习算法；最后利用交通流量混沌时间序列对BP网络、非混沌算法的小波神经网络以及基于混沌算法的小波神经网络进行了单步预测和多步预测，并对预测结果的仿真图和真实值与预测值的方均根进行了比较，结果表明基于混沌学习算法的小波神经网络的预测性能明显优于应用BP网络和非混沌算法的小波神经网络。

At last, by the simulation results and root-mean-square value, the traffic FIRTF neural networks learning and prediction owned on a better advantages, because that the traffic flow FIRTF and the adaptive algorithm combination integrated gda-BP networks, gdm-BP networks, gda-feedback-BP networks and gdm-feedback-BP networks of the four characteristics.

最后，通过交通流量时间序列数据进行了试验分析，说明交通流量FIRTF神经网络以及其于混沌机理的交通流量FIRTF自适应算法综合了gda-BP网络、gdm-BP网络、gda-feedback-BP网络和gdm-feedback-BP网络的特点，使得交通流量FIRTF神经网络在训练和预测的速度上占有很大的优势。

A heterogeneous network handover method of the present invention includes generating, at a mobile node, self-location information, transmitting the self-location information to a management server which manages heterogeneous networks, searching, at the management server, surrounding networks using the self-location information, composing a set of candidate networks including at least one of the surrounding networks, transmitting information on the set of candidate networks to mobile node and deciding, at the mobile node, a target handover network among the candidate networks.

本发明的异构网络切换方法包括：在移动节点产生自身位置信息，将自身位置信息发送到管理异构网络的管理服务器，在管理服务器使用自身位置信息搜索周围网络，组成包括周围网络中的至少一个的一组候选网络，将关于该组候选网络的信息发送到移动节点，以及在移动节点从候选网络中决定目标切换网络。

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。