摘要
在研究生网上课程评价系统收集的大量数据基础上,构建了一种基于人工神经网络的多指标课程评价模型,并将网上调查的结果以连接权的方式赋予该评价模型进行训练。通过实际评价数据的验证,该模型能够准确地按照实际评价的过程进行工作。
Through analyzing a lot of data collected by graduate course online survey system, and establishing a course evaluation system, the article proposes a multi-target synthetic evaluation model based on artificial neural network （ANN）. Then the trained ANN can endue course evaluation model with result of online survey in the way of joint weight. The course evaluation model is capable to simulate reality procedure by verifying the data of course survey.
出处
《现代教育技术》
CSSCI
2009年第10期53-57,共5页
Modern Educational Technology
基金
山东省研究生教育创新计划项目(编号:SDYY07057)资助
关键词
评价模型
人工神经网络
课程评价
Evaluation Model
Artificial Neural Network （ANN）
Course Evaluation
