Глухова, Н.В. and Пісоцька, Л.А. (2018) Застосування нейронних мереж для аналізу зображень газорозрядного випромінювання води. Прикладні науково-технічні дослідження: матеріали ІІ міжнар. наук. - практ. конф., 3-5 квіт. 2018 р. – Академія технічних наук України. – Івано-Франківськ, Україна. p. 25.
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Abstract
Introduction. The gas-discharge radiation method is used for experimental study of the properties of water and biological fluids [1]. The method makes it possible to study the physical, chemical, biological properties of liquids. One of the problems of using it is the complexity of interpreting the results. One of the key problems of its use is the complexity of interpreting the results. Gas-discharge radiation around a liquid drop is fixed in the form of an image. In this work, the mathematical apparatus of artificial neural networks is used for analyzing image parameters. Presentation of the material. The aim of the research these studies is the classification of water types. Four types of water with different degrees of mineralization were investigated. The image on the Xray film is subjected to an analog-to-digital conversion. The radiation image is represented as a matrix. Elements of the matrix of pixels contain geometric and luminance parameters of the radiation. These parameters are associated with the physical, chemical and biological properties of the fluid.
| Item Type: | Article |
|---|---|
| Subjects: | Information Technology |
| Divisions: | Departments > Department of Internal Medicine 3 (formerly - hospital therapy 2) |
| Depositing User: | Елена Шрамко |
| Date Deposited: | 20 Nov 2019 08:49 |
| Last Modified: | 20 Nov 2019 09:00 |
| URI: | http://repo.dma.dp.ua/id/eprint/4534 |
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