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

Jia Gao; Jin Liang An; Zhao Feng Li; Yu Zhen Song

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144The Forecast of the Requirement of Distance...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 143-144)

Pages:

255-259

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.255

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Online since:

October 2010

Authors:

Jia Gao, Jin Liang An, Zhao Feng Li, Yu Zhen Song

Keywords:

Distance Education Resources, Forecast, Neural Network (NN)

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References

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