DocumentCode
2628267
Title
Study on the Salinity Modeling Based on RBF Neural Network
Author
Guodong, Gao ; Wenxiao, Zhang ; Guangyu, Mu
Author_Institution
Dalian Ocean Univ., Dalian, China
Volume
3
fYear
2011
fDate
6-7 Jan. 2011
Firstpage
576
Lastpage
578
Abstract
A new RBF neural network is introduced and at the same time, its´ structure, feature and principium are also expatiated. Contrasting with BP neural network model, it has faster convergence and better precision when it is used in the salinity modeling. A BP neural network model is set up and trained in this paper, in order to approach compensate the effects of improves non-linearity. Test proves it is practical and dependable in the field of salinity modeling and has nice applied prospect.
Keywords
aquaculture; backpropagation; radial basis function networks; BP neural network; RBF neural network; aquaculture; salinity measurement; salinity modeling; Automation; Mechatronics; RBF Neural network; Salinity; Simulation; model;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location
Shangshai
Print_ISBN
978-1-4244-9010-3
Type
conf
DOI
10.1109/ICMTMA.2011.714
Filename
5721551
Link To Document