An RBF neural network approach for retrieving atmospheric extinction coefficients based on lidar measurements

2018 ◽  
Vol 124 (9) ◽  
Author(s):  
Hongxu Li ◽  
Jianhua Chang ◽  
Fan Xu ◽  
Binggang Liu ◽  
Zhenxing Liu ◽  
...  
2010 ◽  
Vol 171-172 ◽  
pp. 274-277
Author(s):  
Yun Liang Tan ◽  
Ze Zhang

In order to quest an effective approach for predicate the rheologic deformation of sandstone based on some experimental data, an improved approaching model of RBF neural network was set up. The results show, the training time of improved RBF neural network is only about 10 percent of that of the BP neural network; the improved RBF neural network has a high predicating accuracy, the average relative predication error is only 7.9%. It has a reference value for the similar rock mechanics problem.


2016 ◽  
Vol 28 (6) ◽  
pp. 1235-1248 ◽  
Author(s):  
Rui Yang ◽  
Kok Kiong Tan ◽  
Arthur Tay ◽  
Sunan Huang ◽  
Jie Sun ◽  
...  

2019 ◽  
Vol 34 (4) ◽  
pp. 3831-3841 ◽  
Author(s):  
Yunfei Yin ◽  
Jianxing Liu ◽  
Juan Antonio Sanchez ◽  
Ligang Wu ◽  
Sergio Vazquez ◽  
...  

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