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复杂
    Research on the Synergy Theory, Method and Application of Complex Adaptive System
    复杂适应系统协同理论、方法与应用研究
    Brittleness Theory of Complex System and Its Application to Crisis Analysis
    复杂系统脆性理论及其在危机分析中的应用
    The Application of Catastrophe Theory in the Research of Complex System Brittleness Theory
    突变理论在复杂系统脆性理论研究中的应用
    Research on Methodology of Agent-Based Modeling and Simulation for Complex Systems and Application
    复杂系统基于Agent的建模与仿真方法研究及应用
    Theory of Fuzzy Neural Network and Its Application for Complex Systems
    模糊神经网络理论及其在复杂系统中的应用研究
    Study on the Synergic Mechanism and Methods of Construction Project Management Based on Complex System Theory
    基于复杂系统理论的工程项目管理协同机制与方法研究
    Method of Qualification for Complex System Reliability
    复杂系统可靠性鉴定方法
    Knowledge Seding and Knowledge-Based Complex System
    知识封装及知识型复杂系统
    Genetic Classifier System for Complex System Environment
    用于复杂系统环境的遗传分类器系统
    Orthogonal Algorithms for the Self Organizing Method of Complex System Models and the Application
    复杂系统模型自组织方法的直交化算法
    FORMALIZATION STUDY ON MULTIPERSON MULTILAYER MULTIOBJECTIVE COMPREHENSIVE EVALUATION PROBLEMS TOWARDS COMPLEX OBJECT SYSTEMS
    面向复杂对象系统的多人多层次多目标综合评价问题的形式化研究
    Complex Giant System Science-A 21st century sci-ence
    复杂巨系统科学——一门21世纪的科学
    The thesis is a systemic study of the complex dynamic network system of laws.
    文章对规律的复杂动态网络系统作了系统的研究。
    It first raises concrete and epistemological evidences to prove the existence of complex dynamic network system of laws, then shows its rich content, and points out that the key to the construction of complex dynamic network system remains the dialectic mode of thinking.
    首先论述了提出规律的复杂动态网络系统的客观根据和认识根据,然后着重阐明了规律的复杂动态网络系统的丰富内容,接着探讨了辩证思维方法是把握规律的复杂动态网络系统的关键。
    This paper presents some of our perspectives on complex systems, characteristics of complexity, objectives and controls of the studying science of complexity. The relationship among nonlinear systems, chaotic systems and uncertain systems etc. is investigated.
    本文阐述了我们关于复杂系统、复杂性特征、复杂性科学研究的对象以及复杂系统的控制等若干问题的看法,讨论了非线性系统、混沌系统和不确定系统等与复杂系统之间的关系,指出了复杂系统的控制与传统意义下的控制的区别,强调复杂性科学研究的对象应重点面向具有复杂性特征的真实系统。
    The purpose of this article is to evaluate and control the complex system.
    通过分析复杂系统现状,制定预期目标,最终实现对复杂系统的控制。
    A Reliability Growth Model for Complex System in Development Testing Program
    复杂系统研制阶段可靠性增长的评估模型
    A Important Tool for Complex System Research -Cellular automata and its application
    复杂系统研究的重要工具——细胞自动机及其应用
    A Self Organizing Method for Modeling of Forecasting Models of Rare Events in Complex Systems
    复杂系统稀异事件预测模型的自组织方法
    Comprehensive and Dynamic Analysis and Model Set of Large Complex System
    复杂大系统综合动态分析与模型体系
 

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