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1 Ergebnisse
1
Interpretable Feedforward Neural Network and XGBoost-Based ..:
Yang, Ao
;
Sun, Shirui
;
Mi, Hongfu
...
Industrial & Engineering Chemistry Research. 63 (2024) 18 - p. 8293-8305 , 2024
Link:
https://doi.org/10.1021/acs.iecr.4c00397
RT Journal T1
Interpretable Feedforward Neural Network and XGBoost-Based Algorithms to Predict CO2 Solubility in Ionic Liquids
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.iecr.4c00397&Exemplar=1&LAN=DE A1 Yang, Ao A1 Sun, Shirui A1 Mi, Hongfu A1 Wang, Wenhe A1 Liu, Jin A1 Kong, Zong Yang PB American Chemical Society (ACS) YR 2024 SN 0888-5885 SN 1520-5045 JF Industrial & Engineering Chemistry Research VO 63 IS 18 SP 8293 OP 8305 LK http://dx.doi.org/https://doi.org/10.1021/acs.iecr.4c00397 DO https://doi.org/10.1021/acs.iecr.4c00397 SF ELIB - SuUB Bremen
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