带可变的分布式延时的高阶Cohen-Grossberg神经网络的动力学行为分析(英文)

对于高阶和低阶CGNN的工作前人做了很多,其中论及的网络都属于文章中讨论的高阶Cohen-Grossberg神经网络的某种特殊情况.讨论了此类网络平衡点的存在性和稳定性.引理2给出了系统(3)何时有平衡点的一个判断,定理1和定理2则讨论了不同条件下引理中平衡点的稳定性.每一个引理和定理都有简单的式子便于计算和判断.研究的带有可变的分布式延时的Cohen-Grossberg神经网络的平衡点的存在性和稳定性的结果具有普遍的意义,可以用于一大类CGNN的平衡点存在性和稳定性的判定上.     

Language clusters based on linguistic complex networks

To investigate the feasibility of using complex networks in the study of linguistic typology, this paper builds and explores 15 lin-guistic complex networks based on the dependency syntactic treebanks of 15 languages. The results show that it is possible to classify human languages by means of the following main parameters of complex networks: (a) average degree of the node, (b) cluster coefficients, (c) average path length, (d) network centralization, (e) diameter, (f) power exponent of degree distribution, and (g) the determination coefficient of power law distributions. The precision of this method is similar to the results achieved by means of modern word order typology. This paper tries to solve two problems of current linguistic typology. First, the language sample of a typological study is not real text; second, typological studies pay too much attention to local language structures in the course of choosing typological parameters. This study performs better in global typological features of language and not only enhances typological methods, but it is also valuable for developing the applications of complex networks in the humanities, social, and life sciences.     

基于Elman神经网络的无线传感器网络测距模型

以无线传感器网络为研究对象，在无线传感器网络覆盖范围内的不同距离内采集信号强度值，利用Elman神经网络建立信号强度值与距离之间的映射关系，将采集到的信号强度作为模型的输入进行训练，利用训练好的网络模型进行测距，结果表明具有良好的网络测距性能。     

Influence of Node Dynamics on Cluster Global Time Continuity

The cluster global time can change in wireless sensor networks due to leader re-elections and node disabilities between two successive synchronizations,which will affect temporal relationships.This paper analyzes cluster global time continuity,using global time change models for the node dynamics.The results prove that defining the global time using the cluster average time(AGT) is more stable than defining it using a single node’s local time(SGT).With normally distributed clock-parameter assumptions,the AGT change bounds are at most 70.7% of those for the SGT’s.The impacts of the initial phase and frequency skew distributions on the global time continuity are also investigated to show that the initial phase variations may strongly influence the continuity.Simulations show that the AGT is more stable with less disabled nodes or larger clusters.The appropriate cluster size is 20-40 when there are less than 15 disabled nodes.     

基于X方物流理论构建电子商务“云配送网络”

针对当前我国电子商务发展中出现的网上购物与物流配送之间的矛盾,提出从大物流论的视角出发,用X方物流理论,构建电子商务末端物流云配送网络;采用物联网技术,实现智能配送和建立城市公共物流信息平台,尽快推出城市配送行业标准的应对策略.     

Concurrent transmission with minimal SR-pair interference in WiMAX mesh networks

Performance of wireless mesh networks can be greatly improved by spatial reuse (SR), therefore, lots of algorithms have been proposed to maximize the number of concurrent transmissions. However, most methods only considered the interference brought by the sender nodes. In this paper, we study the interference model in WiMAX mesh networks and propose a minimal SR-pair interference model to perform concurrent transmissions in both uplink and downlink directions. Simulation results show that our model is more efficient and stable, i.e., it increases the number of concurrent transmissions and its performance is constant and independent of transmission directions. Biography: XIONG Qing(1978–), male, Ph. D., research direction: wireless mesh networks.     

Universal Distributed Estimation Scheme for a Bandwidth Constrained Ad Hoc Sensor Network

This paper describes a distributed estimation scheme (DES) for a bandwidth constrained ad hoc sensor network.The DES is universal in the sense that operations on all sensors are identical and independent of noise distribution.The scheme requires each sensor to transmit just a 1-bit message per observation.Simulation results show that the scheme achieves much better mean-squares error (MSE) performance than the simplified isotropic universal DES and even outperforms the isotropic universal DES which requires more than twice the bandwidth of this scheme.     

不具备M-矩阵条件的时滞Hopfield神经网络模型的收敛性

考虑了一类具有时滞的Hopfield神经网络模型解的收敛性．在不需要M-矩阵条件的前提下，获得了该网络的所有解当t→∞时都趋向于平衡点．其结果补充和完善了已有文献的相应结果．     

Performance prediction for Grid workflow activities based on features-ranked RBF network

Accurate performance prediction of Grid workflow activities can help Grid schedulers map activities to appropriate Grid sites.This paper describes an approach based on features-ranked RBF neural network to predict the performance of Grid workflow activities.Experimental results for two kinds of real world Grid workflow activities are presented to show effectiveness of our approach.