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Defect Recognition of X-Ray Steel Rope Cord Conveyer Belt Image Based on BP Neural Network

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4 Author(s)
Wang Wen ; Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China ; Miao Chang-yun ; Wang Ji ; Li Xian-guo

BP neural network is used to recognize X-ray steel rope cord conveyer belt image with defect in this paper. Firstly, the model of three layers BP neural network is established, and it is made up of 240 input nodes, 20 hidden layer nodes, and 1 output node. Then, the BP neural network is trained and tested in MATLAB. The results show that X-ray steel rope cord conveyer belt image with defect can be identified by the neural network.

Published in:

Computer Science and Society (ISCCS), 2011 International Symposium on

Date of Conference:

16-17 July 2011