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Pengzhan Jin

Showing results (1-10 of 5) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|January 14, 2026
Two-hidden-layer ReLU neural networks and finite elementsPengzhan Jin
Neural Networks : the Official Journal of the International Neural Network Society|January 7, 2022
Approximation capabilities of measure-preserving neural networksAiqing Zhu, Pengzhan Jin, Yifa Tang
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2020
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothnessPengzhan Jin, Lu Lu, Yifa Tang, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2022
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural NetworksPengzhan Jin, Zhen Zhang, Ioannis G Kevrekidis, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 5, 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systemsPengzhan Jin, Zhen Zhang, Aiqing Zhu, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|January 14, 2026
Two-hidden-layer ReLU neural networks and finite elementsPengzhan Jin
Neural Networks : the Official Journal of the International Neural Network Society|January 7, 2022
Approximation capabilities of measure-preserving neural networksAiqing Zhu, Pengzhan Jin, Yifa Tang
Neural Networks : the Official Journal of the International Neural Network Society|July 11, 2020
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothnessPengzhan Jin, Lu Lu, Yifa Tang, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 18, 2022
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural NetworksPengzhan Jin, Zhen Zhang, Ioannis G Kevrekidis, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 5, 2020
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systemsPengzhan Jin, Zhen Zhang, Aiqing Zhu, et al.
Pageof 1