Title :
Method of class recognition for the bubbles film based on back propagation neural networks
Author :
Yang Yu ; Jiang-an Wang ; Zhi-guo Ma ; Cheng-ming Shao
Author_Institution :
Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
The neural network has powerful learning function and can lightly solve the nonlinear problem. This paper uses the back propagation neural networks to recognize the class of underwater air bubbles film. The experiment result shows that the accuracy rate can reach 80%, which indicates that the class can be effectively recognized with this method.
Keywords :
backpropagation; bubbles; neural nets; pattern recognition; physics computing; signal detection; back propagation neural networks; class recognition; nonlinear problem; underwater air bubbles film; Artificial neural networks; Character recognition; Error correction; Information analysis; Neural networks; Optical films; Optical propagation; Power engineering and energy; Signal analysis; Target recognition; bubbles film; class recognition; neural networks;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406629
