Transfer learning strategies for neural networks: A case study in amine gas treating units

This work presents a framework where strategies are applied within a workflow created to enhance the accuracy and transferability of the transfer learning process. We used a case study for predicting corrosion rates in gas-treating units, employing datasets from two different amines (A and B), where...

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Bibliographic Details
Main Authors: Daniela Galatro, Manoj Machavolu, Gladys Navas
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024012829
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