The Forecast of the Requirement of Distance Education Resources Based on Neural Network
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.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
J. Gao et al., "The Forecast of the Requirement of Distance Education Resources Based on Neural Network", Advanced Materials Research, Vols. 143-144, pp. 255-259, 2011