Automation of defective products detection by machine learning methods.
Abstract
The basic methods of machine learning for the detection of defects in the fields of production of various products are presented. The use of deep learning and computer vision approaches to identify hardware faults, single and complex machine learning algorithms for quality control of software are discussed in detail.
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International Journal of Software Engineering & Applications (IJSEA), Vol.6, No.3, May 2015
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