A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite

A novel long-term water absorption and thickness swelling deep learning forecast method for corn husk fiber-polypropylene composite

Investigating long-term water absorption (WA) and thickness swelling (TS) behaviors of wood plastic composites demand long working hours and high laboratory costs. However, using artificial intelligence methods, these behaviors can be predicted in far less time and with a low degree of error. This p...

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Bibliographic Details
Main Authors: Ehsan Yousefi, Mostafa Barzegar Shiri, Mohammad Amin Rezaei, Sajad Rezaei, Shahab S. Band, Amir Mosavi
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Case Studies in Construction Materials
Subjects:
Cornhusk fiber composite
Deep learning
LSTM
Prediction
Thickness swelling
Water absorption
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522004004

Internet

http://www.sciencedirect.com/science/article/pii/S2214509522004004

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