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Novel Random Forest Ensemble Modeling Strategy Combined wit..:

Maogang Li (14328297) ; Weipeng Lai (8346639) ; Ruirui Li (1573267)...
https://figshare.com/articles/journal_contribution/Novel_Random_Forest_Ensemble_Modeling_Strategy_Combined_with_Quantitative_Structure_Property_Relationship_for_Density_Prediction_of_Energetic_Materials/21815940. , 2023

Link: https://doi.org/10.1021/acsomega.2c07436.s001

RT Journal
T1 <Title>Novel Random Forest Ensemble Modeling Strategy Combined with Quantitative Structure–Property Relationship for Density Prediction of Energetic Materials</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21815940&Exemplar=1&LAN=DE
				
A1 Maogang Li (14328297)
A1 Weipeng Lai (8346639)
A1 Ruirui Li (1573267)
A1 Jiajun Zhou (4016069)
A1 Yingzhe Liu (1738708)
A1 Tao Yu (176965)
A1 Tianlong Zhang (9920561)
A1 Hongsheng Tang (407746)
A1 Hua Li (46469)
YR 2023
K1 Biophysics
K1 Ecology
K1 Plant Biology
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 variable importance measurement
K1 relative analysis deviation
K1 precise molecular design
K1 partial least squares
K1 mcvimrf calibration models
K1 improved random forest
K1 final output strategy
K1 molecular descriptor data
K1 162 energetic compounds
K1 exhibit detonation properties
K1 better prediction result
K1 p </ sub
K1 cv </ sub
K1 energetic materials tends
K1 mcvimrf_med ensemble model
K1 mc cross validation
K1 codessa software based
K1 calibration set data
K1 prediction performance optimization
K1 optimized molecular structure
K1 energetic materials
K1 ensemble model
K1 data set
K1 prediction set
K1 optimized based
K1 gaussian software
K1 detonation performance
K1 accurate prediction
K1 x </
K1 r </
K1 density prediction
K1 technical support
K1 successfully applied
K1 subset size
K1 serious challenges
K1 optimized parameters
K1 new generation
K1 multiple subsets
K1 monte carlo
K1 median screening
K1 higher insensitivity
K1 higher energy
JF https://figshare.com/articles/journal_contribution/Novel_Random_Forest_Ensemble_Modeling_Strategy_Combined_with_Quantitative_Structure_Property_Relationship_for_Density_Prediction_of_Energetic_Materials/21815940
LK http://dx.doi.org/https://doi.org/10.1021/acsomega.2c07436.s001
DO https://doi.org/10.1021/acsomega.2c07436.s001
SF ELIB - SuUB Bremen

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