Research on Quality Evaluation of Multimedia Courseware Based on Neural Network

被引：0
|
作者：
Lin Guancheng [1 ,2 ]
Luo Weiliang [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Marine Engn, Xian, Shaanxi, Peoples R China
[2] Weinan Teachers Univ, Dept Media & Commun Engn, Weinan, Peoples R China
来源：
2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 1, PROCEEDINGS | 2009年
关键词：
multimedia courseware; quality evaluation; artificial neural network;
D O I：
10.1109/IITA.2009.220
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is of great significance to study the index weight that plays an important role in the system of comprehensive evaluation-signs of multimedia courseware. To eliminate the randomicity in the process of overall evaluation, this paper analyses and constructs the evaluation model of index weight based on artificial neural network back propagation (BP) algorithm as well as the method of designing and realization. By comparing the emulation with the artificial evaluation, the results indicate that the evaluation model could effectively avoid the subjective factors and uncertainty in the process of computing weight and the relevance modulus, which provides not only the objective criterion, but also reasonable and scientific method for the qualitative and quantitive evaluation of multimedia courseware.
引用
收藏
页码：283 / +
页数：2
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