Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization
Author:
Affiliation:
1. Texas A&M University,Artie McFerrin Department of Chemical Engineering,College Station,TX,USA,77845
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644774.pdf?arnumber=10644774
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4. PySINDy: a python package for the sparse identification of nonlinear dynamics from data;Silva;arXiv preprint,2020
5. OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes
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