网络

So in this paper, combined the CT method and the AntNet routing algorithm, using the multi-agents technique, the artificial cognitive model--BP-CT ant routing algorithm is constructed. In this algorithm the agents have the simple artificial cognition and can interact with other agents and environment. We simulate this algorithm on OMNeT++ software platform and contrast with AntNet routing algorithm, and analyze the result of simulation.

本文将经济系统中较好体现人工认知特征的CT 交叉目标算法与蚂蚁网络路由算法相结合，使用多智能体技术，使智能体具有了简单的人工认知，通过与其他智能体和环境进行交互，构造了以计算智能为智能体核心的人工认知模型BP-CT 蚂蚁网络路由算法，并在OMNeT++网络仿真平台上加以实现，并与蚂蚁网络路由算法进行了对比，并对仿真结果进行了比较和分析。

Mobile agent has been an important means of managing distributed systems. With mobile agent, the traffic between PDP and network device is dramatically reduced. It analyzes the advantages and disadvantages of mobile agent based network management and policy-based network management, proposed architecture of network management with flexibility, intelligence and autoimmunization, and discussed the performance, to evaluate the feasibility of the architecture.

移动代理已经在分布式管理中得到应用，采用移动代理可大大减少策略决策点和网络设备之间的通信流量，通过对基于移动代理的网络管理和基于策略的网络管理的分析研究，结合两种技术的优点，提出了一种具有良好的适应性的自动化网络管理体系结构，并进行性能分析。

A control strategy using Mutual Mapping Neural Network to compute the solution of the backward and forward kinematics was presented in this paper. MMNN was consisted of two NN and one modify function, one NN was used for forward kinematics calculation, and another for Jacobi matrix calculation, the modify function was formed based on Lyapunov function.

双向映射神经元网络主要由两个神经网络和一个修正函数构成，其中一个神经网络用来进行正运动学求解，另一个神经网络用来计算雅可比矩阵，修正算法是根据李雅普诺夫函数来计算的。

To those who have spent a dozen years wrestling with balky PCs and their inexplicable crashes, disruptive and costly hardware and software upgrades, and insatiable demands for service and support, the network computer offers simplicity. Stripped of the hardware and software that complicate PC life and only capable of network access and display, the network computer relies on the network for virtually all software, services, processing, data, and resources.

那些已与体积大的pc机、莫名其妙的崩溃、中断和代价高昂的软硬件升级以及对服务和支持无止境的需求打了十几年交道的人来说，网络计算机提供了简洁性，去掉了使pc应用复杂化的软硬件、只留下网络访问与显示功能，网络计算机对软件、服务、处理、数据和资源几乎全部都依赖网络。

This dissertation deeply studied the theory of CMAC neural networks from learning convergence, generalization ability and the improving of the network model and algorithm, and studied the applications of CMAC neural networks in tank barbette control system combining the national defense research project"Control Algorithm Study of Tank Barbette System". These works are meaningful to enrich the architecture of CMAC theory and to improve the performance of tank gun control system.

本文着重从学习算法的收敛性、网络的泛化能力以及对算法和模型的改进等几个方面深入研究了CMAC神经网络理论，并结合国防95预研项目"坦克炮塔系统控制算法研究"对CMAC神经网络在坦克炮塔控制系统中的应用进行了研究，这些工作对于丰富CMAC神经网络的理论体系，提高坦克炮控系统的性能具有重要的意义。

As an example, a concrete sorting network is given, which is based on SS-Mk and with N and k being 27 and 3 respectively. It is showed by analysis that the sorting networks we construct have less delay time than the conventional Batcher Sorting networks.

分析表明，我们所构造的基于k-sorters的排序网络可以比传统的基于2-sorters的Batcher排序网络具有更小的时间延迟，因此我们所构造的排序网络是一种高效的排序网络，这也说明ISS-Mk算法是一种高效的多路归并算法。

The network storm which makes people easy to cross the region, spatial obstacle rolls up our life quickly. The bedizen usually spends long time chatting over for the network with other people, the main language form adopted in net interaction is the network language which mentioned in this essay.

网络风暴迅速席卷了我们的生活，它使人们轻松地越过地域、空间的藩篱，网民常常花很长的时间逗留在网络上与别人交流，网民在网络上进行交际的主要语言形式就是本文所述的网络语言。

Networks are works transmitted in the form of digital signal, as well as by the carrier of internet,including digitized works, digital works and homepage works, the copyright of these three kinds of types respectiv ely belon gs to the people who owns the copyright of original works the author and interne t supervisor.

网络作品是以数字信号的形式和以网络为载体进行传播的作品，它包括数字化作品、数字式作品和主页作品三种类型。这三种类型作品的著作权分别归属于原作品的著作权人、创作的作者和网站管理者。网络作品在网上传输实质上是作者使用作品的方式之一，应由著作权人享有不同于传统复制权和发行权的"信息网络传播权"。

First, real traffic of Gnutella network was studied, and that the relationship between node's betweenness and the network congestion was found.

从对等网络的拓扑属性研究网络拥塞，首先分析真实的Gnutella网络的流量，确定节点介数与网络拥塞之间存在关系。

It is related to the variational inequality problem, bilinear programming, nonlinear equation. So there is actual meaning and theories value to study how to solve it.In recent years, many algorithms for solving the generalized linear complementarity problem are put forward. But they basically belong to the traditional iterative methods, and may not be efficient since the computing time required for a solution is greatly dependent on the dimension, structure of the problem and the complexity of the algorithm used. Different from the traditional algorithms, the neural network has many advantages on calculations and real-time applications for its inherent massive parallelism and electric circuit implementation.

近年来，人们对广义线性互补问题提出了许多算法，但这些方法基本上属于传统的迭代法，由于它们的计算时间极大地依赖于问题的规模、维数以及所使用的算法，因此很难满足实时并行的要求，与传统数值方法不同，由于内在的并行分布处理信息的特点及电路实现的潜能，神经网络有着许多计算上的优势和实时性的应用，自Hopfield提出著名的人工神经网络模型-Hopfield神经网络，并将其成功应用于优化问题后，用神经网络求解优化问题得到了相当深入的研究，并取得了许多重要的成果。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。