Power-enhanced residual network for function approximation and physics-informed inverse problems

A. Noorizadegan, D.L. Young*, Y.C. Hon*, C.S. Chen*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Power-enhanced residual network for function approximation and physics-informed inverse problems'. Together they form a unique fingerprint.

Engineering

Computer Science

Chemical Engineering