Research of Evaluation System of English Autonomous Learning Ability Based on BP Neural Network

다국어 초록 (Multilingual Abstract)

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 (Table of Contents)

• 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