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复杂网络的理论和应用
  • 项目名称：复杂网络的理论和应用
  • 项目类别：面上项目
  • 批准号：60574044
  • 申请代码：F030203
  • 项目来源：国家自然科学基金
  • 研究期限：2006-01-01-2008-12-31
  • 项目负责人：陈天平
  • 负责人职称：教授
  • 依托单位：复旦大学
  • 批准年度：2005
中文摘要：

杂网络的结构和动态特性研究是当前的一个非常重要的热点研究课题。现实世界是由规模庞大和十分复杂的网络构成的，例如人类社会网络，万维网，包含成千上万的以复杂的关系互相链接的对象，生物代谢网络包含数以千计的以各种复杂的生化反应互相联系的分子。因此对复杂网络的研究有助于对客观世界的认识。当代科学技术和人类社会的发展也提出了新的问题，诸如如何防范黑客，控制急性传染病（例如SARS）、保证大规模供电网络的正常运行，以及各种信息如何在基因和神经系统中传递等。此种种问题都对复杂网络的研究提出了新的课题和重大挑战。解决这些问题有着不可估量的意义。我们在研究中，把自然语言处理看作一个集合的映射问题，结合符号动力学的研究，再转化成一个特殊结构的复杂网络来处理，已取得很好效果。在我们已有的工作基础上，相信用复杂网络的研究应用在自然语言的研究中，会得到很好的结果

中文主题词： 复杂网络;网络拓扑结构;混沌;自然语言识别
成果综合统计
成果类型
数量
  • 期刊论文
  • 会议论文
  • 专利
  • 获奖
  • 著作
  • 31
  • 8
  • 0
  • 0
  • 0
期刊论文
New Approach to Synchronization Analysis of Linearly Coupled Ordinary Differential Systems
Synchronization in General Complex Delayed Dynamical Networks
Dynamical Behaviors of Delayed Neural Network Systems with Discontinuous Activation Functions."
Cluster synchronization of linearly coupled complex networks under pinning control
Consensus in Networks of Multiagents With Cooperation and Competition Via Stochastically Switching T
Exponential synchronization of nonlinear coupled dynamical networks with a delayed coupling
Desynchronization of pulse-coupled oscillators with delayed excitatory coupling
Adaptive synchronization of coupled chaotic delayed systems based on parameter identification and it
Power-Rate Global Stability of Dynamical Systems With Unbounded Time-Varying Delays,
Almost Periodic Dynamics of a Class of Delayed Neural Networks with Discontinuous Activations
Comments on "Improved sufficient conditions for global asymptotic stability of delayed neural networ
Robust synchronization of delayed neural networks based on adaptive control and parameters identific
Analysis of two restart algorithms
Synchronization analysis of linearly coupled systems described by differential equations with a coup
New results on the robust stability of Cohen-Grossberg neural networks with delays
Exponential Synchronization of the Linearly Coupled Dynamical Networks with Delays
A New Approach to Synchronization Analysis of Linearly Coupled Map Lattices
Rn+-global stability of a Cohen–Grossberg neural network system with nonnegative equilibria
Pinning Complex Networks by a Single Controller
Global-Stability of Delayed Neural Networks With Unbounded Time-Varying Delays,
Global Synchronization Criteria of Linearly Coupled Neural Network Systems With Time-Varying Couplin
Synchronization analysis for nonlinearly coupled complex networks with an asymmetric coupling matrix
Robust -stability for uncertain stochastic neural networks with unbounded time-varying delays,
Global-Synchronization of Linearly Coupled Unbounded Time-Varying Delayed Neural Networks With Unbo
Partial synchronization in linearly and symmetrically coupled ordinary differential systems
Synchronization of periodic trajectories for Linearly Coupled Map Lattices with delayed coupling"\
Global Synchronization of Discrete- Time Dynamical Network With a Directed Graph
Recurrent neural network model based on projective operator and its application to optimization prob
Exponential Synchronization of Nonlinear coupled dynamical networks
Boundedness and synchronization of y-coupled Lorenz systems with or without controllers,
Comment on “Existence and global exponential stability of periodic solution for delayed high-order H
会议论文
Positive solutions of general delayed competitive or cooperative Lotka-Volterra systems
Global asymptotical stability of Cohen-Grossberg neural networks with time-varying and distributed d
Stability of Cohen-Grossberg neural networks with nonnegative periodic solutions
Dynamical behaviors of a large class of delayed differential systems with discontinuous right-hand s
Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen- Grossberg Neural Net
Global synchronization of impulsive coupled delayed neural networks
Universal approach to study delayed dynamical systems
Existence and stability of periodic solutions for Cohen-Grossberg neural networks with less restrict
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