DocumentCode :
1845195
Title :
Revision of the observed data based on neural networks
Author :
Wu, Yong ; Wang, Ouqun ; Xiangwei Liu ; Zhong, Jianmin
Author_Institution :
Coll. of Math. & Phys., Chongqing Inst. of Technol., China
Volume :
2
fYear :
2005
fDate :
13-15 June 2005
Firstpage :
1110
Abstract :
It is a very important task for graduation of the observed data in composing the mortality table. Currently, there are different limitations influencing the methods of graduation. In this paper, the revision of data is completed by means of neural networks. This paper mainly uses a three -to -eight -to -one´s model of neural network for graduation of the observed data. As it is illustrated in the paper, the method is right, and can be generalized to the graduation of observed data of other schemes.
Keywords :
data analysis; insurance data processing; neural nets; graduation; life table; mortality table; neural networks; observed data; Biological neural networks; Biological system modeling; Brain modeling; Computer networks; Educational institutions; Feedforward neural networks; Feedforward systems; Multi-layer neural network; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on
Print_ISBN :
0-7803-8971-9
Type :
conf
DOI :
10.1109/ICSSSM.2005.1500168
Filename :
1500168
Link To Document :
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