Study for Workpiece Identity Based on the BP Neural Network and the Zernike Moment
2013 ◽
Vol 694-697
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pp. 1958-1963
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Keyword(s):
The robots identify, locate and install the workpiece in FMS system by identifying the characteristic information of target workpiece. The paper studied the recognition technology of complex shape workpiece with combination of BP neural network and Zernike moment. The strong recognition ability of Zernike moment can extract the characteristic. The good fault tolerance, classification, parallel processing and self-learning ability of BP neural network can greatly improve the accurate rate of recognition. Experimental results show the effectiveness of the proposed method.
2014 ◽
Vol 631-632
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pp. 79-85
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2012 ◽
Vol 214
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pp. 705-710
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2021 ◽
Vol 25
(3)
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pp. 310-316
2013 ◽
Vol 765-767
◽
pp. 2004-2007
2011 ◽
Vol 201-203
◽
pp. 276-280
Keyword(s):
2013 ◽
Vol 416-417
◽
pp. 1239-1243
2014 ◽
Vol 945-949
◽
pp. 2266-2271
2013 ◽
Vol 394
◽
pp. 393-397