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Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.
Lu Lu
Pengzhan Jin
Guofei Pang
Zhongqiang Zhang
George Em Karniadakis
Published in:
Nat. Mach. Intell. (2021)
Keyphrases
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learning algorithm
macro operators
knowledge acquisition
learning scheme
genetic algorithm
reinforcement learning
learning process
learning tasks
learning problems
case study
supervised learning
learning systems
incremental learning
inductive inference
approximation error