Artificial Neural Networks for Pyrolysis, Thermal Analysis, and Thermokinetic Studies: The Status Quo

Artificial Neural Networks for Pyrolysis, Thermal Analysis, and Thermokinetic Studies: The Status Quo

Artificial neural networks (ANNs) are a method of machine learning (ML) that is now widely used in physics, chemistry, and material science. ANN can learn from data to identify nonlinear trends and give accurate predictions. ML methods, and ANNs in particular, have already demonstrated their worth i...

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Bibliographic Details
Main Authors: Nikita V. Muravyev, Giorgio Luciano, Heitor Luiz Ornaghi, Roman Svoboda, Sergey Vyazovkin
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Molecules
Subjects:
artificial neural networks
conversion degree
kinetics
machine learning
pyrolysis
thermal analysis
Online Access:https://www.mdpi.com/1420-3049/26/12/3727

Internet

https://www.mdpi.com/1420-3049/26/12/3727

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