Abstract
To convert GPS height by Artificial Neural Networks, there are still many problems which need further research. In this paper we conduct more in-depth analysis and study more about the specific problems such as the determination of hidden layer, the determination of hidden layer nodes, network training times, selections of learning rate and initial weight values and so on. After the improved setting of the parameters , we can make the improved BP Neural Network model for the conversion of GPS height. Then some useful conclusions are obtained.
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