Multi-agent systems often require good interoperability in the process of completing their assigned tasks.This paper first models the static structure and dynamic behavior of multiagent systems based on layered weight...Multi-agent systems often require good interoperability in the process of completing their assigned tasks.This paper first models the static structure and dynamic behavior of multiagent systems based on layered weighted scale-free community network and susceptible-infected-recovered(SIR)model.To solve the problem of difficulty in describing the changes in the structure and collaboration mode of the system under external factors,a two-dimensional Monte Carlo method and an improved dynamic Bayesian network are used to simulate the impact of external environmental factors on multi-agent systems.A collaborative information flow path optimization algorithm for agents under environmental factors is designed based on the Dijkstra algorithm.A method for evaluating system interoperability is designed based on simulation experiments,providing reference for the construction planning and optimization of organizational application of the system.Finally,the feasibility of the method is verified through case studies.展开更多
In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the model...In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.展开更多
A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Suge...A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Sugeno's (MTS) fuzzy model and one-order GSNN. Using expectation-maximization(EM) algorithm, parameter estimation and model selection procedures are given. It avoids the shortcomings brought by other methods such as BP algorithm, when the number of parameters is large, BP algorithm is still difficult to apply directly without fine tuning and subjective tinkering. Finally, the simulated example demonstrates the effectiveness.展开更多
为探究黄河流域复合型灾害的特征及其风险演化模式,首先厘清复合型灾害的基本特征,基于黄河流域2000-2023年的1553条灾害数据,归纳出10种典型的灾害链演化路径。通过构建复合型灾害的复杂网络模型,运用基于节点相似度和标签传播的加权...为探究黄河流域复合型灾害的特征及其风险演化模式,首先厘清复合型灾害的基本特征,基于黄河流域2000-2023年的1553条灾害数据,归纳出10种典型的灾害链演化路径。通过构建复合型灾害的复杂网络模型,运用基于节点相似度和标签传播的加权网络社团划分算法(Weighted Network Community Division Method based on Node Similarity and Label Propagation,SLWCD)对网络节点进行分类,识别影响复合型灾害风险水平的关键节点。结果表明:洪涝灾害为黄河流域复合型灾害网络中的核心节点,具有最强的全局影响力;水污染事故较易受到自然灾害或首发事故的触发,干旱与地震则为黄河流域的高频灾害。聚类分析结果揭示了四类显著的效应机制,分别为:风雨沙灾害与社会安全事件的时空累积效应、各类灾害与公共卫生事件的级联效应、地质灾害与事故灾难的联动效应及土地问题对公共卫生事件的长期影响。此外,通过Python模拟,研究发现黄河流域复合型灾害网络中潜在路径长度大于4的灾害链条共有7646条。基于研究结果,提出了以下政策建议:增强灾害预警与应急响应能力,统筹跨部门协作,强化高风险区域的监测,推进生态保护与可持续发展,优化水资源与污染防控,采取综合适应策略应对气候变化,以有效提升黄河流域应对复合型灾害的能力。展开更多
基金supported by the Key R&D Projects in Jiangsu Province(BE2021729)the Key Primary Research Project of Primary Strengthening Program(KYZYJKKCJC23001).
文摘Multi-agent systems often require good interoperability in the process of completing their assigned tasks.This paper first models the static structure and dynamic behavior of multiagent systems based on layered weighted scale-free community network and susceptible-infected-recovered(SIR)model.To solve the problem of difficulty in describing the changes in the structure and collaboration mode of the system under external factors,a two-dimensional Monte Carlo method and an improved dynamic Bayesian network are used to simulate the impact of external environmental factors on multi-agent systems.A collaborative information flow path optimization algorithm for agents under environmental factors is designed based on the Dijkstra algorithm.A method for evaluating system interoperability is designed based on simulation experiments,providing reference for the construction planning and optimization of organizational application of the system.Finally,the feasibility of the method is verified through case studies.
文摘In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.
文摘A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Sugeno's (MTS) fuzzy model and one-order GSNN. Using expectation-maximization(EM) algorithm, parameter estimation and model selection procedures are given. It avoids the shortcomings brought by other methods such as BP algorithm, when the number of parameters is large, BP algorithm is still difficult to apply directly without fine tuning and subjective tinkering. Finally, the simulated example demonstrates the effectiveness.
文摘为探究黄河流域复合型灾害的特征及其风险演化模式,首先厘清复合型灾害的基本特征,基于黄河流域2000-2023年的1553条灾害数据,归纳出10种典型的灾害链演化路径。通过构建复合型灾害的复杂网络模型,运用基于节点相似度和标签传播的加权网络社团划分算法(Weighted Network Community Division Method based on Node Similarity and Label Propagation,SLWCD)对网络节点进行分类,识别影响复合型灾害风险水平的关键节点。结果表明:洪涝灾害为黄河流域复合型灾害网络中的核心节点,具有最强的全局影响力;水污染事故较易受到自然灾害或首发事故的触发,干旱与地震则为黄河流域的高频灾害。聚类分析结果揭示了四类显著的效应机制,分别为:风雨沙灾害与社会安全事件的时空累积效应、各类灾害与公共卫生事件的级联效应、地质灾害与事故灾难的联动效应及土地问题对公共卫生事件的长期影响。此外,通过Python模拟,研究发现黄河流域复合型灾害网络中潜在路径长度大于4的灾害链条共有7646条。基于研究结果,提出了以下政策建议:增强灾害预警与应急响应能力,统筹跨部门协作,强化高风险区域的监测,推进生态保护与可持续发展,优化水资源与污染防控,采取综合适应策略应对气候变化,以有效提升黄河流域应对复合型灾害的能力。
