Physics-informed neural networks with non-differentiable loss

Physics-informed neural networks with non-differentiable loss

Physics-informed Neural Networks (PINN) are special neural networks that are designed for scientific computing tasks. Recent research has found its promising capability to integrate any given law of physics in different forms including general nonlinear partial differentiable equations. It has sh...

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書目詳細資料
主要作者:	Yang, Junyan
其他作者:	Mao Kezhi
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2022
主題:	Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/158021
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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