23‐4: Research on LCD Strength Improvement Based on Neural Networks Algorithm

Aiming at the display fragmentation caused by insufficient module strength of ultra-thin and narrow design, a module strength prediction model is proposed to improve LCDs strength immunity and provide design guide, The comparison between the experiment measurement and the predicted results shows tha...

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Bibliographic Details
Published inSID International Symposium Digest of technical papers Vol. 55; no. 1; pp. 295 - 298
Main Authors Sun, Yansheng, Liu, Wei, Deng, Yong, Zha, Guoping, Geng, Yuxu, Zhang, Zhi, Zhang, Dayu, Cheng, Yiming, Li, Yucheng, Yang, Sheng
Format Journal Article
LanguageEnglish
Published Campbell Wiley Subscription Services, Inc 01.06.2024
Subjects
Algorithms
Displays
Finite element simulation
Module strength
Modules
Neural network predictive model
Neural networks
Prediction models
Predictions
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ISSN0097-966X
2168-0159
DOI10.1002/sdtp.17513

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Summary:Aiming at the display fragmentation caused by insufficient module strength of ultra-thin and narrow design, a module strength prediction model is proposed to improve LCDs strength immunity and provide design guide, The comparison between the experiment measurement and the predicted results shows that the model can accurately predict the module strength under different design conditions and provide effective technical support and guidance.
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ISSN:0097-966X
2168-0159
DOI:10.1002/sdtp.17513