A New Legendre Wavelets Neural Network Algorithm for Evaluating EnglishÿPracticeÿBase Teaching
- DOI
- 10.2991/icmeit-17.2017.52How to use a DOI?
- Keywords
- A New Legendre Wavelets Neural Network Algorithm for Evaluating EnglishÿPracticeÿBase Teaching
- Abstract
Practice base teaching evaluation plays an important role in university teaching management and is a hotspot research field for researchers related. The paper takes university English practiceÿbase teaching for research sample, and presents a new Legendre wavelets neural network algorithm to evaluate practice base teaching. Firstly, an indicator system of university English practiceÿbase teaching evaluation is designed through analyzing the aspects of teaching preparation, specific teaching, teaching administration and teaching effects. Secondly, Legendre wavelets are used to improve BP neural network algorithm to overcome its shortages of low convergence in calculation based on analysis of BP working principle. Thirdly, taking sample research data from three universities, the experimental results indicates that the presented Legendre wavelets neural network algorithm can be used in evaluating Englishÿpracticeÿbase teaching for different universities and guarantee the evaluation validity and effectiveness.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuehui Pei AU - Guixin Pei PY - 2017/05 DA - 2017/05 TI - A New Legendre Wavelets Neural Network Algorithm for Evaluating EnglishÿPracticeÿBase Teaching BT - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 271 EP - 274 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.52 DO - 10.2991/icmeit-17.2017.52 ID - Pei2017/05 ER -