COMBINED MODEL IN HEIGHT ANOMALY FITTING
Wang Xiaohui;Wang Qijie; Ding Yuanlan; and Liu Jian
School of Geosciences and Info-Physics, Central South University, Changsha 410083
Abstract The combined model based on the quadratic surface model and BP neural network model is applied to the GPS height anomaly fitting, while the combination is determined from the variance reciprocal method and general regression neural network (GRNN). The GPS elevation data in a certain area is used, the results show that both the accuracy and reliability with the combined model are more superior to the single models, and the fitting accuracy with the combined model based on general regression neural network (GRNN) is better than that with the combined model based on the variance reciprocal method.
Key words ：
quadratic surface model
BP neutral network model
height anomaly
general regression neural network
variance reciprocal method
Received: 01 January 1900
Corresponding Authors:
Wang Xiaohui
Cite this article:
Wang Xiaohui,Wang Qijie,Ding Yuanlan et al. COMBINED MODEL IN HEIGHT ANOMALY FITTING[J]. , 2012, 32(6): 103-105.
Wang Xiaohui,Wang Qijie,Ding Yuanlan et al. COMBINED MODEL IN HEIGHT ANOMALY FITTING[J]. jgg, 2012, 32(6): 103-105.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I6/103
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