摘要
针对内容适配系统建模问题,采用反馈控制理论设计内容适配系统控制模型,采用人工神经网络(ANN)设计系统控制器,提出基于QBP算法的控制器学习算法,并分析内容适配控制系统的运行机制。
To solve the problem of content adaptation system modelling, a control model of content adaptation system was designed based on feedback control. The ANN was employed to design the controller whose learning algorithm was the BP algorithm. In the end, the mechanism of the content adaptation control system was analysized：
出处
《软件》
2013年第5期53-55,共3页
Software
基金
教育部人文社科基金项目"移动学习服务适配决策技术及优化策略研究"(No.10YJC880113)
