Abstract The necessity of sample data preprocessing for BP neutral networkbased GPS elevation fitting is analyzed, and three preprocessing methods are given, which are normalization, centralization and standardization. In order to obtain an optimal model, a data preprocessing layer is added in the network topology and then the three different methods are applied in training the neutral networks. Through the comparative analysis of the results derived with different preprocessing methods and with quadratic surface model, it is found that the influence of three data preprocessing methods on BP neutral networkbased GPS elevation fitting is different, and the accuracy with BP neutral network method is higher than that with quadratic surface model.
Zhang Hao,Wang Qijie,Zhu Jianjun et al. INFLUENCE OF SAMPLE DATA PREPROCESSING ON BP
NEURAL NETWORKBASED GPS ELEVATION FITTING[J]. , 2011, 31(2): 125-128.
Zhang Hao,Wang Qijie,Zhu Jianjun et al. INFLUENCE OF SAMPLE DATA PREPROCESSING ON BP
NEURAL NETWORKBASED GPS ELEVATION FITTING[J]. jgg, 2011, 31(2): 125-128.
