Application of BP Neural Network Model on Resource Quality Rank Appraisal

摘要

This paper using Network Education Resources appraisal question to establish multi-layer front neural network mathematical model, and taking resource utilization of network teaching platform of Zhejiang Shuren University on October, 2010 as the training sample, training the network model constantly to learn the intrinsic pattern which exists in the sample, and the trained network is used for resources quality evaluation. After carrying on the analysis comparison between evaluating the result and the actual result, it is discovered that, this network model has the higher appraisal precision, the lower error coefficient. Based on Matlab software testing, the appraisal accuracy reaches 95.83%.