Prediction of Optimum Expanded Polystyrene Densities for Best Thermal Insulation Performances of Polystyrene Composite Particleboards by Using Artificial Neural Network

Öztürk H., Demir A., Demirkır C.

DRVNA INDUSTRIJA, vol.73, no.4, pp.385-395, 2022 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 73 Issue: 4
  • Publication Date: 2022
  • Doi Number: 10.5552/drvind.2022.2119
  • Journal Name: DRVNA INDUSTRIJA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, Compendex, Environment Index, Geobase, Veterinary Science Database, Directory of Open Access Journals
  • Page Numbers: pp.385-395
  • Karadeniz Technical University Affiliated: Yes