Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames

Classical mechanics offers us reliable means to predict various physical quantities, but it is difficult to derive the precise dynamic equations underlying most phenomena and obtain physical quantities in real-world situations. Intuitive physics, the ability to intuitively understand and predict phy...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.114246-114254
Hauptverfasser:	Seo, Jongwoo, Lee, Sang Wan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence artificial neural network Classical mechanics classical physics Convolutional neural networks Differential equations Inertial reference systems intuitive physics Mathematical model Multilayer perceptrons Neural networks non-inertial system Observers Physics Three-dimensional displays
Online-Zugang:	Volltext
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