摘要
通过对高校实验教学评价现状的研究,在分析独立学院实验教学质量影响因素的基础上,构建实验教学质量评价指标体系,介绍Elman神经网络的结构和学习过程。将Elman神经网络运用到独立学院实验教学评价活动中,把实验教学评价指标量化成确定的数据作为其输入,实验教学质量水平作为输出,对模型的实用性和可操作性进行了验证,并提出了改进独立学院实验教学质量的具体措施。
Through the research on the status of teaching evaluation in colleges, investigating each kind of factor affecting the experiment teaching quality in independent colleges, this paper builds experiment teaching quality evaluation system, and introduces the architecture of the Elman neural network and study process. Taking a certain independent colleges in Zhejiang province as examples, it uses the Elman neural network on the experimental teaching evaluation to verify the practicality and operability of the model. Quantified indexes of experimental teaching evaluation were inputs of the model, while the level of experimental teaching quality was output. Finally, this paper suggests the practical measurements to improve the quality of the experimental teaching in the independent colleges.
出处
《实验技术与管理》
CAS
北大核心
2012年第3期147-151,共5页
Experimental Technology and Management
基金
浙江省高校实验室工作研究项目"独立学院教学型实验室评估体系研究"(Y201038)
关键词
独立学院
实验教学
评价指标体系
ELMAN神经网络
independent college
experimental teaching
evaluation indicator system
Eiman neural network
