摘要
教学质量评价是对教学质量进行过程控制的重要手段。采用多层前传网络结构(back-propaga-tionnet2workconstruction,BP网络),测试教学质量评价体现的完整性,让教学质量评价系统更充分的体现其功能,希望能通过BP神经网络的自学习自识别模式理论更好的对评价的指标进行衡量,从而更好的对评价的结果的有效性、合理性进行把握。
The opinion of teaching quality is an important means of processing control.In this paper,introducing the Back Propagation neural networks to test the reflecting of the integrity of the assessment of teaching quality,let teaching quality evaluation system embody much adequately function,we hope BP neural network self-learning and self-recognition model theory giving much better evaluation of the indicators to measure,in order to grasp the validity and the ralation ship of the results.
出处
《计算机与数字工程》
2010年第4期97-99,共3页
Computer & Digital Engineering
关键词
BP神经网络
质量评价
控制
自学习
Back Propagation neural network
quality evaluation
control
self-learning
