Artificial neural network modeling of ferroelectric hysteresis: an application to soft lead zirconate titanate ceramics
In this work, the Artificial Neural Network (ANN) was used to model ferroelectric hysteresis using data measured from soft lead zirconate titanate [Pb (Zr1-xTix)O3 or PZT] ceramics as an application. Data from experiments were split into training, testing and validation dataset. Four ANN models were...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-75749083667&partnerID=40&md5=e72a567d823ac5f18ef97b033aebe2e8 http://cmuir.cmu.ac.th/handle/6653943832/1519 |
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| Institution: | Chiang Mai University |
| Language: | English |