红河学院学报
紅河學院學報
홍하학원학보
JOURNAL OF HONGHE UNIVERSITY
2015年
2期
28-30
,共3页
BP神经网络%教师履职考评%评价模型%网络学习%分类预测
BP神經網絡%教師履職攷評%評價模型%網絡學習%分類預測
BP신경망락%교사리직고평%평개모형%망락학습%분류예측
BP neural network%performance evaluation of teacher%evaluation model%network training%classification and prediction
基于BP神经网络算法在分类预测方面的权威性，提出利用BP神经网络构建教师履职评价模型的新方法。实验结果表明，该模型具有较高的可行性和实用性，能够准确、高效地对教师履职情况进行客观评价。
基于BP神經網絡算法在分類預測方麵的權威性，提齣利用BP神經網絡構建教師履職評價模型的新方法。實驗結果錶明，該模型具有較高的可行性和實用性，能夠準確、高效地對教師履職情況進行客觀評價。
기우BP신경망락산법재분류예측방면적권위성，제출이용BP신경망락구건교사리직평개모형적신방법。실험결과표명，해모형구유교고적가행성화실용성，능구준학、고효지대교사리직정황진행객관평개。
Based on the authority of the BP neural network algorithm in classification and prediction aspect, the paper put forward a new method of constructing teacher performance evaluation model based on BP neural network. The experimental results show that, the model has higher feasibility and practicability, can accurately and efficiently evaluate the performance of teacher objectively.
