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: Wimalin Laosiritaworn, Rattikorn Yimnirun, Yongyut Laosiritaworn
格式: Book Series
出版: 2018
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在線閱讀:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=75749083667&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50843
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機構: Chiang Mai University