供需网子网内部智能风险预测模型研究

Intelligent prediction model of internal risks for SDN sub-network

为促进多功能开放型企业供需子网的有效运作,以供需网子网的内部风险为研究对象,开展了基于智能体的智能风险预测研究。首先从信息识别、信息分类及预测决策设计入手,对供需网子网的内部风险预测思想进行了探讨;然后,以智能体为手段,对风险智能预测模型进行了研究。研究了该智能体的结构模型,及智能体计算风险预警值的数学模型,并进一步从实践的角度,研究了该智能体的定义形式和其部分实现代码,进而实现了该智能体模型的系统化研究。

To promote the effective operation of sub-network of Supply and Demand Network with multi-function and open characteristics for enterprise （SDN）, the Agent-based internal risk intelligent prediction study for sub-network of SDN was carried out. Firstly, from perspectives of the information identification, information classification and prediction of decision-making, the prediction thoughts on internal risks for sub-network of SDN were discussed. Then, by the means of Agent, the risk intelligent prediction model was studied. The structural model for Agent and the mathematical model needed by Agent to calculate risks warning were discussed. Furthermore, from the practical view, data definition and partial realization codes for the Agent were studied. Finally, the systematic research on the Agent model was also realized.