Cargando…
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...
Autores principales: | Muravyev, Nikita V., Luciano, Giorgio, Ornaghi, Heitor Luiz, Svoboda, Roman, Vyazovkin, Sergey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235697/ https://www.ncbi.nlm.nih.gov/pubmed/34207246 http://dx.doi.org/10.3390/molecules26123727 |
Ejemplares similares
-
Structural Thermokinetic Modelling
por: Liebermeister, Wolfram
Publicado: (2022) -
A Thermokinetic Approach to Radiative Heat Transfer at the Nanoscale
por: Pérez-Madrid, Agustín, et al.
Publicado: (2013) -
Status quo and future prospects of artificial neural network from the perspective of gastroenterologists
por: Cao, Bo, et al.
Publicado: (2021) -
Thermokinetic Study of Aluminum-Induced Crystallization of a-Si: The Effect of Al Layer Thickness
por: Zharkov, Sergey M., et al.
Publicado: (2023) -
Thermokinetic profile of NDM-1 and its inhibition by small carboxylic acids
por: Wang, Qian, et al.
Publicado: (2018)