Title :
The application of SOM neural network in IVC fault diagnosis
Author :
Bo Qu ; Hong, Lin
Author_Institution :
Electr. Inf. Inst., Suzhou Univ., Suzhou, China
Abstract :
The construction and algorithm of a self-organizing feature map neural network is researched. It is the first time to present the method of classifying and diagnosing IVC fault based on clustering principle of the SOM network .The diagnosis results given in this article prove that the fault diagnosis approach is effective.
Keywords :
pattern clustering; self-organising feature maps; zoology; IVC fault diagnosis; clustering principle; individually ventilated cages; self-organizing feature map neural network; Fault diagnosis; IVC; Neural network; Self-Organizing feature map;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620003
