Definitions from Wikipedia (Physics-informed neural networks)
▸ noun: Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).
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▸ noun: Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).
▸ Words similar to Physics-informed neural networks
▸ Usage examples for Physics-informed neural networks
▸ Idioms related to Physics-informed neural networks
▸ Wikipedia articles (New!)
▸ Words that often appear near Physics-informed neural networks
▸ Rhymes of Physics-informed neural networks
▸ Invented words related to Physics-informed neural networks