The paper defines Perception-Informed Neural Networks as a unifying framework in which physics laws and fuzzy or probabilistic expert perceptions enter neural networks through loss functions, and proposes new variants such as MOEINNs, TKINNs, and FINNs without empirical validation.
Methods Appl
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Perception-Informed Neural Networks: Beyond Physics-Informed Neural Networks
The paper defines Perception-Informed Neural Networks as a unifying framework in which physics laws and fuzzy or probabilistic expert perceptions enter neural networks through loss functions, and proposes new variants such as MOEINNs, TKINNs, and FINNs without empirical validation.