Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Por um escritor misterioso
Last updated 22 dezembro 2024
PDF) Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Deep learning operator network for plastic deformation with variable loads and material properties
Algorithms, Free Full-Text
Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch, by Shuai Guo
NEW PROGRESS IN INTELLIGENT SOLUTION OF NEURAL OPERATORS AND PHYSICS-INFORMED-BASED METHODS
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VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification - ScienceDirect
Deep transfer operator learning for partial differential equations under conditional shift
PDF) DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
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