摘要
与各培养院校的重视程度相比,毕业论文的评价方法和手段还相对滞后。引入离散型Hopfield神经网络算法对毕业论文的多指标进行评价,评价过程直观、可靠。同时,利用在线评价手段,各评价主体不再相互影响,教师复杂的计算工作量也大大减少。系统在实践中改善了评价过程,优化了评价结果。
The methods and tools of evaluation on graduation thesis is still lagging behind its development compared with the attention paid by the schools.The introduction of discrete Hopfield neural network algorithm for multi-index to evaluate the thesis is visual and reliable.Meanwhile,for the use of online evaluation method,the evaluation subjects are no longer influenced each other,and the teacher＇s complicated computation work is also greatly reduced.In practice,the system improves the evaluation process,and optimizes the evaluation results.
出处
《山西电子技术》
2013年第4期57-59,共3页
Shanxi Electronic Technology
基金
山西省高等学校科技研究开发项目"基于虚拟人情绪的智能学习支持系统的研究与开发"(No.20111124)
忻州师范学院教改项目"基于任务驱动的ACCESS立体化教学改革"
