摘要
在MCAI软件评价指标体系建立的基础上,利用人工智能的方法建立了MCAI软件BP神经网络评价模型。该模型具有自学习、自适应的特点,利用层次分析法评价模型所得的评价结果集作为该模型的学习样本,经过训练后的BP神经网络具有"专家"经验,实现了对MCAI软件的评价由定性评价转为定量评价,是对MCAI软件评价方法的创新。
Based on the evaluation index system of multimedia computer assisted instruction （MCAI） software is built, BP neural networks evaluating model of MCAI software is set up by method of artificial intelligence. The model has studies and adapt by self. The evaluate Results of using the evaluationg model of analytic hierarchy process （AHP） of MCAI software by way of study stylebook. The BP neural networks after training by way of expert experience, Realization evaluate of MCAI software from determine the nature to ration. The evaluating model of MCAI software BP neural networks is innovation.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第12期2968-2970,共3页
Computer Engineering and Design
基金
河南省自然科学基础研究计划基金项目(2007520044)
许昌市科技攻关计划基金项目(06020034)
广东技术师范学院自然科学研究基金项目(07KJY01)
关键词
MCAI软件评价指标体系
BP神经网络
训练模型
训练算法
人工智能
评价模型
evaluation index system of multimedia computer assisted instruction （MCAI） software
BP neural networks
model of training
training arithmetic
artificial intelligence
evaluating model
