Title :
Study on the salinity modeling based on back-propagation neural network
Author :
Gao, Guodong ; Zhang, Wenxiao ; Mu, Guangyu
Author_Institution :
Coll. of Mech. Eng., Dalian Ocean Univ., Dalian, China
Abstract :
A new BP neural network is introduced and at the same time, its´ structure, feature and principium are also expatiated. In order to approach compensate the effects of improves non-linearity, a BP neural network model is set up and trained in this paper. The test result indicates that: this method is practical and dependable in the field of salinity modeling, has a good applied foreground.
Keywords :
agriculture; backpropagation; neural nets; BP neural network model; agriculture; back-propagation neural network; salinity control; salinity measurement; salinity modeling; Adaptation models; Analytical models; Artificial neural networks; Biological system modeling; Learning systems; Mathematical model; Training; BP neural network; forecast; math modeling; salinity; simulation;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965104
