Biblio
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2018. A Combination of Support Vector Machine and Heuristics in On-line Non-Destructive Inspection System. Proceedings of the 2018 International Conference on Machine Learning and Machine Intelligence. :45–49.
This paper deals with an on-line non-destructive inspection system by using hammering sounds based on the combination of support vector machine and a heuristic algorithm. In machine learning algorithms, the perfect performance is hard to attain and it is newly suggested that a heuristic algorithm redeeming this insufficiency is connected to the support vector machine as a post-process. The experimental results show that the combination of support vector machine and the heuristic algorithm attains 100% detection of defective pieces with 18.4% of erroneous determination of non-defective pieces within the upper limit of given processing time.