用学习矢量量化(LVQ)神经网络进行教师评估

Research on teacher-evaluation-method based on learning vector quantization (LVQ)

针对教师评估中考评指标过多、评价工作复杂化问题,提出了一种基于LVQ神经网络的教师评估方法。利用Matlab神经网络工具箱进行仿真实验,结果表明,该网络具有结构简单,学习速度快、分类稳定的特点,用LVQ神经网络进行教师评估是可行而有效的。

To solve the problems which teacher evaluation complicated,we provides a teacher evaluation model based on learning vector quantization(LVQ).Software Ma1lab was used to structure,train,and simulate the LVQ artificial neural network.The result indicates it is effective to apply Matlab neural network toolbox to the study of teacher capability evaluation.LVQ has the advantages of simple structure,fast learning and stability characteristics.