A machine learning tool for future prediction of heat release capacity of in-situ flame retardant hybrid Mg(OH)2-Epoxy nanocomposites

In this work, the fire behavior of a sol-gel in-situ hybrid Mg(OH)2-epoxy nanocomposite was investigated and an artificial neural network-based system built on a fully connected feed-forward artificial neural network was developed to predict its heat release capacity. The nanocomposite containing on...

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Ngā kaituhi matua:	Aurelio Bifulco, Angelo Casciello, Claudio Imparato, Stanislao Forte, Sabyasachi Gaan, Antonio Aronne, Giulio Malucelli
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2023-10-01
Rangatū:	Polymer Testing
Ngā marau:	Magnesium hydroxide Sol-gel Epoxy Prediction of fire parameters Artificial neural networks Machine learning
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S0142941823002556
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!