网络学习模式识别移动代理因素提取方法研究

从分析网络学习因素的角度出发,提出了利用数据融合理论和使用移动代理技术解决网络学习模式识别的问题。详细分析了网络学习模式中的主要因素,针对网络学习模式识别提出了使用移动代理(MA)进行因素提取的方法。同时运用数据融合技术中分布式缠绕判决模型进行描述,从而使有效地获取网络学习者的学习状态变为可能。也对网络学习因素提取MA的执行环境进行了具体阐述。设计了因素提取MA体系结构,分析了因素提取的执行过程,采用ATP层代理传输协议作为移动代理系统的应用层协议,负责学习模式识别的因素提取。

Research on Factor Extraction Method in Network Study Pattern Recognition Based on Mobile Agent

This paper presents a method of solving the problem of network study pattern recognition based on data fusion theory and mobile agent (MA) technology in view of network study factors.The main factors of network learning have been analyzed in detail, and the factor extraction method using MA is put forward according to network study pattern recognition. At the same time it's described utilizing the distributed twine judgment model of data fusion technology,thus make it possible to obtain the study state of network learner efficiently.And also the implement environment network for extracting study factors using MA is detailed.The system structure for extracting study factors using MA is designed,the process of factor extraction is analyzed, and ATP layer agent transmission protocol is used as the application layer protocol of MA system to perform factor extraction of that moves responsible learning pattern recognition and the agreement of study pattern recognition.