Earticle

초록

영어

This paper focuses on the application of BP neural network, taking an evaluation system of English autonomous learning ability as an example. Based on the full analysis the inscape of the system, the recorded data that is related with Web server log in a process of students' online learning has been collected and analyzed by using data mining technology. With BP neural network pattern, an evaluation model of autonomous learning ability based on BP neural network has been founded on the data collected. The experimental results show that the evaluation results of model are in general accord with those of experts: the highest accuracy was 100%, the lowest is 91.7%, and the average is 94.6%; therefore, it is feasible and effective to apply the BP neural network to the evaluation of autonomous learning ability.

목차

Abstract
 1. Introduction
 2. Evaluation Index
  2.1. Data Mining
  2.2. Construction of Evaluation Index System
 3. Evaluation System of BP Neural Network
  3.1. BP Neural Network
  3.2. The Design of BP Neural Network
  3.3. Learning Process of BP Neural Network Model
 4. The Application of the Evaluation Model for Students' Learning Ability
  4.1. Data Input
  4.2. Network Training
  4.3. Evaluation Testing
 5. Conclusions
 References

키워드

저자

• Bo Du [ College of Foreign Languages, Agricultural University of Hebei, Baoding 071001, China ]
• Yan Zhang [ College of Foreign Languages, Agricultural University of Hebei, Baoding 071001, China ]
• Jing Zhang [ College of Foreign Languages, Agricultural University of Hebei, Baoding 071001, China ]
• Dongming Li [ College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding 071001, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605