Application of Wavelet Neural Network in Height Fitting
YANG Dengke;XU Meng;LI Jianping;QIN Zekun;
The advantages of any nonlinear time series can be estimated accurately by learning samples based on wavelet neural network. It is applied to GPS height fitting and compared with the conicoid model. The experimental results show that: The wavelet neural network model can make use of the limited sample information to obtain the best learning effect and generalization ability, and its fitting precision is better than the conventional conicoid fitting method.
【CateGory Index】： P228.4