The Forecast of the Requirement of Distance Education Resources Based on Neural Network

被引：0

作者：

Gao Jia ^{[1
]}

An Jinliang ^{[2
]}

Li Zhaofeng ^{[2
]}

Song Yuzhen ^{[2
]}

机构：

[1] Henan Inst Sci & Technol, Coll Human Literauture, Xinxiang 453003, Peoples R China

[2] Henan Inst Sci & Technol, Coll Informat Technol, Xinxiang 453003, Peoples R China

来源：

SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2011年 / 143-144卷

关键词：

Neural Network; Forecast; Distance Education Resources;

D O I：

10.4028/www.scientific.net/AMR.143-144.255

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To enable the distance education resources reflect the actual needs of the uers, overcome the subjectivity,blindness, repeatability and other shortcomings in the resources development process.The article proposed BP(Error Back ropagation)neural network used in the forecast of requirements for modern distance education resources. On the base of the analysis of the advantage of BP network, constructed the network topology with one hidden layer, analysed the algorithm by discussing the relationship between nerwork layers,gave the algorithm steps in detail. Experiments showed that: through training, adjusting the weights between neurons in the network, the network can forecast the requirements for education resources intelligent. Compared with traditional methods, this method has strong robustness and fault tolerance, so can apply more.

引用

页码：255 / +

页数：3

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