PORE PERCENTAGE ESTIMATION OF PIEZOELECTRIC CERAMICS USING CCANN AND IMAGE MADE WITH SEM
The authors synthesized samples of piezoelectric potassium sodium niobate ceramics of 10,25 and 40 pore percentage by volume. Capsule convolutional artificial neural network has been developed for estimation of the pore percentage in images. Using the scanning electron microscopy, f learning massive...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Tver State University
2021-12-01
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| Series: | Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов |
| Subjects: | |
| Online Access: | https://physchemaspects.ru/2021/doi-10-26456-pcascnn-2021-13-286/?lang=en |