Concurrent artificial neural network modeling of single-crystal and bulk-ceramics ferroelectric-hysteresis: An application to barium titanate
This paper proposed an application of Artificial Neural Network (ANN) to concurrently model ferroelectric hysteresis properties of Barium Titanate in both single-crystal and bulk-ceramics forms. In the ANN modeling, there are 3 inputs, which are type of materials (single or bulk), field amplitude an...
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Main Authors: | Wimalin Laosiritaworn, Natthapong Wongdamnern, Rattikorn Yimnirun, Yongyut Laosiritaworn |
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Format: | Journal |
Published: |
2018
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960719572&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50088 |
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Institution: | Chiang Mai University |
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