DocumentCode
1597320
Title
Design and Implementation of BP Neural Network Based on LabVIEW in Fault Diagnosis
Author
Gao Hongtao ; Chen Xiaoning ; Zhang Libin ; Wu Wenjian
Author_Institution
PLA Univ. of Sci. & Technol., Nanjing, China
fYear
2012
Firstpage
1025
Lastpage
1027
Abstract
This article describes the application principle of BP Neural Network and introduces a kind of method that through calling the application program of MATLAB to realize BP Neural Network. By the method of the hybrid programming of MATLAB and Lab VIEW, we can play the advantages of both fully. It is possible that the complicated control arithmetic melts into virtual instrument to realize fault diagnosis.
Keywords
backpropagation; fault diagnosis; mathematics computing; neural nets; virtual instrumentation; BP neural network; LabVIEW; MATLAB; fault diagnosis; hybrid programming; Biological neural networks; Fault diagnosis; Instruments; MATLAB; Mathematical model; Neurons; Programming; BP Neural Network; LabVIEW; MATLAB Fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.534
Filename
6173378
Link To Document