Prediction of Optimum Expanded Polystyrene Densities for Best Thermal Insulation Performances of Polystyrene Composite Particleboards by Using Artificial Neural Network
The objective of this study is to predict the optimum expanded polystyrene (EPS) densities for the best insulation properties of the particleboards manufactured with waste EPS instead of formaldehyde-based adhesives used in particleboard production with artificial neural network (ANN). For this purp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Forestry and Wood Technology
2022-01-01
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| Series: | Drvna Industrija |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/413479 |