一种基于MAS的作战指挥智能运作模型研究

研究了一种多智能体系统的实体结构（EACSS）,设计了作战指挥智能体（CCA）,并就其各模块功能进行了分析。该系统采用模糊决策方法设计了约束推理模块,用以模拟人的思维推理过程,完成对推理依据信息的存储以及应用。对EACSS进行了性能分析,对进一步研究智能体在作战指挥系统中的应用具有一定的实用价值。     

Method of distribution and cooperation for electro-optical countermeasures jamming resources

The concept of the method resource is introduced to deal with the cooperative application problem of different electro-optical countermeasure equipments. Based on this concept, a new approach is introduced to distribute the jamming resources of electro-optical countermeasures, and it is used to deploy and manage electro-optical countermeasures resources under the restriction conditions of cooperation and incompatibility disposing. The resource management procedure is formalized by Finite State Machine (FSM). By using the cooperative resource operation system on the basis of multi-agent systems, a complex system with three incompatible swarms is constructed and cooperative operation procedures are demonstrated by simulations.     

Vector projection method for unclassifiable region of support vector machine

Unclassifiable region (UR) in conventional multi-classification support vector machine (MSVM) decreased the classification capacity and generalization ability of MSVM. To overcome the disadvantage, vector projection method (VPM) was presented. VPM first projects the samples in UR onto the line linking every two class centers, then computes the feature distance between each projecting point and corresponding class center. For one sample, the class with smaller feature distance will be voted one time and the sample belongs to the class which owns the most votes. Experimental results on synthetic and benchmark datasets show that VPM resolved the UR problem effectively and improved the classification capacity and generalization ability of MSVM.