Comparative analysis of the applicability of feed-forward and recurrent neural networks for prediction of surface quality of laser polished surfaces

From National Research Council Canada

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  1. National Research Council of Canada. Automotive and Surface Transportation
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Subjectlaser polishing; surface quality prediction; artificial intelligence; feed-forward neural network; recurrent neural network
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PublisherJapan Laser Processing Society
Peer reviewedYes
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Record identifieref5b750d-837f-4036-a681-7d25ed4d9fd2
Record created2024-02-09
Record modified2024-02-09
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