南通大学学报：自然科学版2011，Vol.10Issue(4)：1-6,6.
基于RBF神经网络模型的高校教育资源利用绩效评价决策支持系统
Performance Evaluation Decision Making ＆ Support of System of Higher Education Resources Utilization Based on RBF Neural Network
摘要
Abstract
The mathematical model,using higher education resources as an evaluation,is a high non-linear black box model.RBF neurotic network has fast convergence rate and the good performance of non-linear fitting.So RBF neurotic network is adopted to study the structure of XML database and the way how it carries out.Firstly,because of its convenience,catholicity and clear in structure,it is used to carry on training the saving of sample.Secondly,by using MATLAB language the creation of RBF neurotic network is tried.Finally by connecting neurotic network with XML database,the support decision system to evaluate the using of higher education resources is developed.The result shows that the system built by this way has strong general performance and can be widely applied.关键词
RBF神经网络/高校教育资源/XML数据库/绩效评价Key words
RBF neural network/higher education resources/XML database/Performance evaluation分类
信息技术与安全科学引用本文复制引用
王建宏,许志鹏..基于RBF神经网络模型的高校教育资源利用绩效评价决策支持系统[J].南通大学学报：自然科学版,2011,10(4):1-6,6.基金项目
教育部人文社会科学青年基金资助项目 （）
2011年江苏省大学生实践创新训练计划项目 （）
南通大学学生课外学术科技作品（创业计划）基金资助项目 （）
