Data mining algorithms in the task of diagnosing the welded joints quality
| Autor: | Viktoriya Berkholts, Ruslan Akhmedyanov, Klara Tagirova, Ruslan Gayanov, Alexey Vulfin |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION technology industry and agriculture ComputerApplications_COMPUTERSINOTHERSYSTEMS Welding respiratory system computer.software_genre Data mining algorithm law.invention Task (project management) law Quality (business) Data mining computer media_common |
| Zdroj: | Proceedings of the V International conference Information Technology and Nanotechnology 2019. |
| DOI: | 10.18287/1613-0073-2019-2416-463-476 |
| Popis: | The paper discusses the issue of creating an intelligent diagnostic system for welded joints based on the radiographic method. This will speed up the process of decoding radiographic images and reduce the number of errors associated with human factors, since at this time most of the work on decoding images is done manually. The goal of the work is to develop an intelligent system for finding defects in a welded joint in a radiographic image using neural networks. The obtained results are the algorithm of operation of the intelligent diagnostic system for welded joints based on the radiographic method, a trained neural network for detecting defects of welded joints. |
| Databáze: | OpenAIRE |
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