网络

The dissertation includes the work as follows: Firstly, we present a random graph model with spatial reuse for a dense MANET which using directional antennas. The analytic formula of several important performance parameters for the MANET are obtained under the DSR routing protocol, such as the average flooding distance, the probability generating function of the flooding distance, the probability of a flooding route to be symmetrically valid, the average time to find a symmetrically valid route and the cost to successfully route a data packet to its destination. We compare the two models with spatial reuse and without spatial reuse by evaluating these parameters. It is shown that the spatial reuse model is much more effcctive in terms of the performance of the dense network with directional antenna, because the bigger is the degree of spatial reuse, the smaller is the average flooding distance.

在定向天线技术的支持下，建立了移动自组网络空间可重用的贝努利随机图模型，获得了DSR路由协议下平均泛洪距离的解析公式和泛洪距离的概率母函数：给出了有效对称路由概率、发现有效路由平均时间、成功路由代价等关键性能参数的解析分析；在网络性能参数定量分析的基础上，对空间可重用和无重用的网络进行了比较分析，结果显示空间重用度增大，则平均泛洪距离、路由发现时延、网络代价减少。

Propose a novel MAC protocol for MIMO-based WSNIn order to solve the problems that the process of accessing channel is complex and pronely causes collisions in MIMO-based WSN,a heterogeneous WSN models and a centralized TDMA scheduling algorithm based on the networks models are proposed in this paper.

3提出了新的基于MIMO的无线传感器网络的TDMA调度算法针对基于协作式MIMO的无线传感器网络节点接入信道过程复杂、容易产生碰撞等问题，提出了采用异构无线传感器网络模型和基于该网络模型的集中式时分多址(Time Division Multiple Access，TDMA)调度算法。

With introducing the Proportional to Population Size Sampling technique into resample for the problem of specimen reconstruction effectiveness and rationality, a neural network ensemble method based on the PPS technique was proposed, which could improve the accuracy of individual network and the differences among individual networks; and a new dynamic selection approach of individual network in a neural network ensemble was put forward.

针对样本重组的有效性和合理性问题，将PPS抽样技术引入样本重构，提出了基于PPS抽样的集成神经网络算法，以提高个体神经网络的准确性与差异度，并实现动态选择个体神经网络的神经网络集成新方法。

A hybrid model of short-term load forecasting based on chaotic theory, correlation and neural networks is presented in this paper. Firstly, reconstruct attractors in phase spaces using chaotic theory, Secondly fit the attractor's evolvement using BP neural networks, because selecting neural network's input training data using Euclid distance and correlation, improve neural network's associative memory and ratiocinative ability, can better fit the attractor's evolvement.

提出一种将混沌理论、关联度和神经网络相结合的短期负荷预测模型，首先利用混沌理论重构负荷时间序列的相空间吸引子，然后用BP 神经网络来拟合空间吸引子的演化，由于使用空间欧氏距离和关联度联合来选取神经网络的训练样本，这样就提高了神经网络对负荷序列混沌特性的联想和泛化推理能力，能够更好的拟合吸引子的演化。

Firstly, reconstruct attractors in phase spaces using chaotic theory,Secondly fit the attractor s evolvement using BP neural networks, because selecting neural network s input training data using Euclid distance and correlation, improve neural network s associative memory and ratiocinative ability, can better fit the attractor s evolvement.

提出一种将混沌理论、关联度和神经网络相结合的短期负荷预测模型，首先利用混沌理论重构负荷时间序列的相空间吸引子，然后用BP神经网络来拟合空间吸引子的演化，由于使用空间欧氏距离和关联度联合来选取神经网络的训练样本，这样就提高了神经网络对负荷序列混沌特性的联想和泛化推理能力，能够更好的拟合吸引子的演化。

The IP address resource of IPV9 is 4 times of IPV6, have huge information resource. These addresses can be allocated independently by China, it is OK to be returned at the same time the address of reapportion IPV4 and IPV6, the 2nd has the state that resource allocation of address of droit of network address resource, network counterpoises.

在十进制网络体系中，中国完全拥有对互联网的自主治理权，可以通过域名解析把握网络信息，并可根据实际需求，对信息进行分类限制，实现"绿色网络"，并利用数字域名，固定每个用户的IP，为网络治理带来了便利。

To sum up, main results of this study were listed as follows:(1) After analyzing the main factors affecting generalization function of neural network, and aiming at poor representativity of hydrologic time series samples, standardization method of transforming extreme was presented to deal with input sample of time series, which could make the input samples lie in the interpolation range of training samples even if they lie in the extension of training samples, so it improved generalization function of neural network and accelerates network convergence speed.

概括起来，本文取得的主要研究成果如下：(1)对影响神经网络泛化能力的主要原因进行了阐述，针对水文时间序列样本的代表性不好这一问题，提出了采用变最值的规范化方法处理时间序列输入样本，使神经网络的输入样本即使为训练样本的外延，规范化后也处于训练样本的内插范围，从而改善神经网络的泛化能力，并加快网络收敛速度。

This paper firstly introduces the development of the computer network and the signification of the safeness of the network, it is also introduced the relationship between network and human beings, The varied network information bring people the convenient and the safeness.

本文首先介绍了计算机网络的发展与网络安全的含义，以及网络与人们生活中的关系，丰富的网络信息资源给用户方便同时，也给上网用户带来了安全问题。

The relationship between network reliability and network survivability is discussed. Self-healing will greatly improve network reliability.

讨论了网络可靠性和网络自愈的关系，网络自愈会极大地改善网络的可靠性。

It is found that if the ratio of the number stored in the model P to the size of the network N is less than 0.1, the following results exist. The overlap between the stable state of networks and the pattern is independent of the size of networks. And the relation between the overlap and the ratio of links of new nodes to the number of patterns abides by the sigmoidal curve.

发现在模型的储存模式的数目P与网络尺度N的比值P/N＜1／10的条件下，网络对受污模式做出响应达到稳态后，这个模式与原模式的重叠随网络平均度变化的规律与网络尺度无关，并且模式重叠与每个新增节点的连接度m和储存模式的数目的比值m／P满足S型曲线。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新