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
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;
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
DOI :
10.1109/IWISA.2009.5073161
