摘要
应用分形、智能Agent和神经网络自适应控制技术,研究分形供应链适应环境变化的结构模式和策略模式.探讨了分形供应链Agent关联结构,提出了分形供应链双层自适应协同计算模式,论述了资源Agent,信息协调Agent,人机交互Agent和领域计算Agent之间的相互作用关系.以一个分形模块的策略协同为分析对象,研究了领域单元的自适应协同计算模式,分析了分形模块的成本模型,并对基于Agent交互的神经网络模型部分进行了算例仿真.
By applying fractal, intelligent Agent and neural network adaptive control technology, structural pattern and policy pattern of fractal supply chain adapting to environmental changes are researched. After exploring the correlation structure of fractal supply chain Agent, adaptive dual synergy computing mode of fractal supply chain is proposed. Then the interaction between resource Agent, information coordination Agent, human-machine interactive Agent and domain computing Agent is discussed. By analyzing policy synergy in a fractal module, an approach to adaptive synergy computing schema of a domain unit is studied, and cost model of fractal module is analyzed. Finally, the part of neural network model based on Agent interaction is simulated.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第11期1677-1681,1687,共6页
Control and Decision
基金
福建省青年人才创新项目(2007F3068)
