神经网络

The adaptive learning of neural network can fulfill the minimum absolute deviation criteria, so this dissertation puts forward the algorithm that can be implemented by the neural network.

利用神经网络的自适应学习特性和在处理非线性问题时能够满足最小绝对偏差准则的性质，给出了该算法的神经网络实现方法。

Another carries out input fuzzy quantificat and grading quantificat in the same time, deduces using Takagi-Sugeno fuzzy algorithm, and introduces fuzzy algorithm into weight training of CMAC. It has the characteristics of less quantificat grade and high accuracy of function approximability. It shows good effectivity used for Wiener model identifying. By syncretizing MVL, linear neuron, fuzzy control and CMAC, this paper gives a kind of FCMAC nonlinear control system with the ability of self-learning in line.

将模糊控制和小脑模型神经网络有机的结合在一起，提出了两种模糊小脑模型神经网络，一种是在CMAC基础上进行输出模糊插值，可减小非样本点误差，提高精度和训练速度；一种是对输入进行分级量化的同时进行模糊量化，利用Takagi-Sugeno模糊算法进行推理，并将模糊算法引入CMAC的权值训练，具有输入量化级数少、函数逼近精度高等特点，用于Wiener模型辨识效果好。

Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a network flow. Some parameters, such as the correlative dimension and the Lyapunov exponent are calculated,and the chaos characteristic is proved to exist in Internet traffic data flows. A neural network model is constructed based on radial basis function to forecast actual Internet traffic data flow.

摘 要：应用混沌理论，分析了网络流量，用单变量的网络流量时间序列重构与网络动力系统等距同构的相空间，进而计算了实际网络的关维数和Lyapunov指数，并证实了网络流量存在混沌特性；据此建立了基于径向基函数神经网络的模型，并对实际网络数据流进行了预测。

The whole PPT-reports of the Forum have put into "Complex Network Science Forum Circle" on Science Network in China (Please see: hettp//www.sciencene.cn/g/ComplexNets ) and also appear on the CCAST-WL Webside (Please see: www.ccast.ac.cn/workshop ). Main issues of the Forum are associated main subject of Network Science with application, including: review and outlook of network science ,spreading model of the H1N1 influenza virus , dynamics of neural network , brain functional networks,dynamics of topological structure, military network science with application, space structure of complex networks, community structure,,stationary e fficiency of coevolutionary networks , significance of community structure,,relationshipe between structure and dynamics of complex network, generalized synchronization and control, consensus of multi-agent systems, evolutionary game and friendship network, s preading of epidemic based on human and animal mobility pattern, complex network engineerings, and so on.

本届论坛文集共收编了32篇 ppt 报告，已经公布在中国科学网"复杂网络论坛圈"上（请看： hettp//www.sciencene.cn/g/ComplexNets 并且也发表在中国高等科学技术中心网站上（ the CCAST-WL Webside ）(请看： www.ccast.ac.cn/workshop )，这些报告内容丰富，各具特色，颇有创新，基本涵盖了近年来我国网络科学领域若干重要课题的研究进展和丰硕成果，课题研究颇有深度，不仅具有现实意义的重要课题（如甲型流感全球大爆发之经验统计及其传播模型），而且有前沿课题：生物神经网络系统的动力学与大脑网络，还有一系列重要课题：网络拓扑结构的动力学识别与估计、军事网络科学、网络科学在工程应用、多个体一致性、网络结构与动力学之间关系、同步-协同-中性稳定性和流型的稳定性、网络系统的协调动力学与控制、复杂网络的空间结构、连续系统和离散系统中的广义同步、疾病免疫算法、网络节点匹配、电力网、供应链网、化工网、通讯网与保密通信，等等。

Nowadays, distributed intrusion detection system research based on the technology of agent and neural network becomes hotspot, software agent technology is considered as a very tool to develop intrusion detection system, especially its characteristic of Autonomy, Social Ability and Adaptability, and neural network technology gains more and more focus in respect that its pre-estimation to unknown network activities.

目前，基于Agent和神经网络技术的分布式入侵检测系统的研究成为业界热点，软件Agent技术因其所具有的良好的自治性、社会性、适应性，被视为在入侵检测系统中极为有用的技术之一，而神经网络技术则因其对未知网络行为的预判性，在入侵检测系统领域得到越来越多的关注。

The engine monitor requires accurate predictions of rational velocities. A prediction model is constructed on the basis of flat neural network A fast recursive algorithm is used to improve the learning speed by forgetting factor. Accordingly, the present neural network algorithm leads to considerable reduction of effort in network weighting matrix as well as increase of self-learning and adaptability of neural network algorithms to nonlinear and nonstationary systems.

发动机监测器以精确的转速预测为前提，通过构建扁平化神经网络预测模型，并根据遗忘因子思想改进快速递推算法，既减少网络权矩阵的计算量，又充分发挥神经网络算法对非线性和非平稳系统的自学习能力。

Remote sensing image classification; pattern recognition; artificial neural network; decision tree; feature abstraction; back propagation model

遥感图像分类；模式识别；人工神经网络；决策树；特征提取；反向传播神经网络BP网络

Here we will focus on two different feedback networks, one is Hopfield network designed by Hebb learning rule, another is holistic optimized network which is presented recently by Zhao Phys.

本文重点研究两种反馈网络，一类是基于Hebb规则设计的Hopfield神经网络，另一类是基于最近提出的一套设计神经网络的整体规则Zhao，Phys。

Based on the summarization of the stateoftheart of the shortterm traffic flow prediction methods, two short-term prediction models of traffic flow that include bp neural network and rbf neural network are discussed in this paper.

在总结交通流短期预测方法发展趋势的基础上，分别介绍了基于常规的bp神经网络和基于rbf神经网络的交通流量短期预测模型，并重点研究rbf网络模型的预测性能，确定了关键参数sc的最优值。

Combination of the latest artificial intelligence direction : artificial neural network, BP network assoc...

结合人工智能的最新方向：人工神经网络，利用BP网络的联想，记忆功能，建立了具有神经网络的驾驶员：环境闭环控制系统模型。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。