Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters-Reference-Cited by-同舟云学术

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Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters

Published:2021-10 Issue: Volume: Page:
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Joo Chonghyo¹²^ORCID,Park Hyundo¹³^ORCID,Lim Jongkoo⁴^ORCID,Cho Hyungtae¹^ORCID,Kim Junghwan¹^ORCID

Affiliation:

1. Green Materials and Processes R&D Group Korea Institute of Industrial Technology Jung‐gu, Ulsan Republic of Korea

2. Department of Chemical Engineering Konkuk University Gwangjin‐gu, Seoul Republic of Korea

3. Department of Chemical and Biomolecular Engineering Yonsei University Seodaemun‐gu, Seoul Republic of Korea

4. Research & Development Center GS Caltex Corporation Yuseon‐gu, Daejeon Republic of Korea

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22700

Reference53 articles.

1. Prediction of Strength Properties of Elastic Polymeric Composite Materials Based on Polypropylene Woven Tapes

2. Glass/jute/sisal fiber reinforced hybrid polypropylene polymer composites: Fabrication and analysis of mechanical and water absorption properties

3. The Effect of Filler Content on the Tensile Behavior of Polypropylene/Cotton Fiber and poly(vinyl chloride)/Cotton Fiber Composites

4. Thermoplastic elastomers based on polypropylene/natural rubber and polypropylene/recycle rubber blends

5. Lightweight Polypropylene/Stainless-Steel Fiber Composite Foams with Low Percolation for Efficient Electromagnetic Interference Shielding

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