DocumentCode
2045715
Title
The Algorithm of Data Repairing for Expendable Current Profiler Based on Neural Networks
Author
Sun Jichang ; Du Libin ; Zhang Yingying ; Ren Guoxing
Author_Institution
Sch. of Mech. Eng., Tianjin Univ., Tianjin
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
3
Abstract
This paper researches the approaches of data repairing for expendable current profiler. The self-learning algorithm of the network architecture based on generalization ability has been developed. Proving experiment using the algorithm has been done, which confirms the algorithm can increase the precise of data gained from the expendable current profiler.
Keywords
generalisation (artificial intelligence); geophysics computing; neural net architecture; oceanography; unsupervised learning; data repairing algorithm; expendable ocean current profiler; generalization ability; neural network architecture; self-learning algorithm; Current measurement; Mechanical engineering; Military computing; Neural networks; Oceans; Probes; Research and development; Sea measurements; Sun; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5073161
Filename
5073161
Link To Document