基于BP神经网络的课程评价模型仿真研究  

Study owing to the BP neural networks course evaluation model simulates

作　　者：刘华金[1] 叶丽君[2] 

机构地区：[1]浙江工业大学研究生院,浙江杭州310000 [2]浙江汽车职业技术学院,浙江台州317000

出　　处：《佳木斯教育学院学报》2011年第3期301-302,共2页Journal of Jiamusi Education Institute

基　　金：2010年度浙江省教育技术研究规划课题(JB066)

摘　　要：构建课程教学质量综合评价体系,在此基础上构建一个BP神经网络模型,通过BP神经网络的学习算法,进行模型研究与应用。以《汽车造型》课程为例,运用10个样本数据进行网络模型训练,达到规定误差,并通过未训练3个样本检测网络模型,达到规定吻合度。运用Matlab进行实验结果研究与分析,验证了该模型的智能性、有效性,值得推广应用。The main body of a book is complied with supervising an expert,of the same trade or occupation teacher,student structure in three aspects build course quality of teaching overall evaluation system,structure a BP nerve network model here on the basis,by the fact that BP neural networks algorithm studying,model being in progress studying and applying.And be an example with the course 'automobile model ',apply 10 sample book data to carry out network model training,reach regulation error,check a network model,reach regulation fit degree by not having trained 3 sample books.The experiment bear fruit being in progress studies and analyses Matlab applying,intelligence,validity having verified that model,are worth it application and dissemination.

关 键 词：课程 BP神经网络 评价 模型 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]