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Taylor diagram presentation for the predicted values of com..:

Meng Wang (124646) ; Jiaxu Kang (14304962) ; Weiwei Liu (341566)..
https://figshare.com/articles/figure/Taylor_diagram_presentation_for_the_predicted_values_of_compressive_strength_utilizing_machine_learning_model_/21783485. , 2022

Link: https://doi.org/10.1371/journal.pone.0279293.g007

RT Journal
T1 <Title>Taylor diagram presentation for the predicted values of compressive strength utilizing machine learning model</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21783485&Exemplar=1&LAN=DE
				
A1 Meng Wang (124646)
A1 Jiaxu Kang (14304962)
A1 Weiwei Liu (341566)
A1 Jinshuai Su (14304965)
A1 Meng Li (79487)
YR 2022
K1 Science Policy
K1 Space Science
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 validation results showed
K1 support vector machine
K1 mean absolute error
K1 extreme gradient boosting
K1 effectively save resources
K1 better generalization ability
K1 206 example sets
K1 div >< p
K1 test set
K1 strength accurately
K1 solid wastes
K1 solid waste
K1 rf model
K1 random forest
K1 nonlinear mapping
K1 many factors
K1 large amount
K1 generated worldwide
K1 fly ash
K1 factor features
K1 every year
K1 evaluation metrics
K1 essential indicator
K1 compressive strength
JF https://figshare.com/articles/figure/Taylor_diagram_presentation_for_the_predicted_values_of_compressive_strength_utilizing_machine_learning_model_/21783485
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0279293.g007
DO https://doi.org/10.1371/journal.pone.0279293.g007
SF ELIB - SuUB Bremen

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