Title :
Quantitative identification of broken wire for steel rope based on BP neural network
Author :
Dou, Zhijuan ; Wang, Minhua
Author_Institution :
College of Quality and Safety Engineering, China Jiliang University, Hangzhou, 310018 China
Abstract :
To counter the problem in quantitive identification of broken wire for steel rope, a BP neural network model was set up by using Matlab in the article. According to the simulative and real detection data, its features of reliability and usability were proved.
Keywords :
BP neural network; Broken wire; Matlab; Steel rope;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1293
