Title: Grade prediction model based on BP algorithm
Abstract:BP network is a typical multilayer feed-forward neural network.It consists of three layers: the input layer,the hidden layer,and the output layer.After training by learning samples,the model can be us...BP network is a typical multilayer feed-forward neural network.It consists of three layers: the input layer,the hidden layer,and the output layer.After training by learning samples,the model can be used for data forecast,and is suitable to achieve the grade prediction of the network's learning system.It is very import to select the training sample as BP neural network's learning data set,informations can be got from students' learning state tracking of the learning system,including online learning time,learning ability,homework score,and test score.Existing student grades can be used as expected output of the training BP network.These data need to be normalized.The globle error has a decreasing tendency and a good convergent performance during the training process.The grades can be forecasted from the trained model,then it provides a learning policy for strudent's learning guide.The validations of the model show that the model can be applied to grade prediction,which has obtained expected results.Read More
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 1
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