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nlin.PS2022★ 32 cited
Predicting nonlinear dynamics of optical solitons in optical fiber via the SCPINN
Yin Fang, Wen-Bo Bo, Ru-Ru Wang +2
The strongly-constrained physics-informed neural network (SCPINN) is proposed by adding the information of compound derivative embedded into the soft-constraint of physics-informed…
nlin.PS2022★ 58 cited
Data-driven soliton solutions and model parameters of nonlinear wave models via the conservation-law constrained neural network method
Yin Fang, Gang-Zhou Wu, Yue-Yue Wang +1
In the process of the deep learning, we integrate more integrable information of nonlinear wave models, such as the conservation law obtained from the integrable theory, into the n…