"Next generation pure component property estimation models: With and without machine learning techniques"(vol 68,e17469, 2022)

被引：0
|
作者：
Alshehri, A. S.
Tula, A. K.
You, F.
Gani, R.
机构：
来源：
AICHE JOURNAL | 2023年 / 69卷 / 06期
关键词：
D O I：
10.1002/aic.18086
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
引用
收藏
页数：7
相关论文
共 4 条
  • [1] Next generation pure component property estimation models: With and without machine learning techniques
    Alshehri, Abdulelah S.
    Tula, Anjan K.
    You, Fengqi
    Gani, Rafiqul
    AICHE JOURNAL, 2022, 68 (06)
  • [2] An Improved Machine Learning Model for Pure Component Property Estimation
    Cao, Xinyu
    Gong, Ming
    Tula, Anjan
    Chen, Xi
    Gani, Rafiqul
    Venkatasubramanian, Venkat
    ENGINEERING, 2024, 39 : 61 - 73
  • [3] Performance estimation of next generation passive optical networks stage 2 with machine learning techniques for 5G and beyond
    Singh, Simranjit
    Kaur, Jagroop
    Kaur, Harpreet
    Singh, Rajandeep
    Optoelectronics and Advanced Materials, Rapid Communications, 2024, 18 (9-10): : 440 - 454
  • [4] Building effective machine learning models for ankle joint power estimation during walking using FMG sensors (vol 16, 836779, 2022)
    Frontiers Prod Off
    FRONTIERS IN NEUROROBOTICS, 2023, 17
1