Corrigendum to “A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA” [Sci. Total Environ. (2017) 1160–1172]

2019 ◽  
Vol 685 ◽  
pp. 1306
Author(s):  
Katherine M. Ransom ◽  
Bernard T. Nolan ◽  
Jonathan A. Traum ◽  
Claudia C. Faunt ◽  
Andrew M. Bell ◽  
...  
Keyword(s):  
Machine Learning ◽  
Nitrate Concentration ◽  
Central Valley ◽  
Learning Model ◽  
Machine Learning Model ◽  
Hybrid Machine

scholarly journals A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

2017 ◽  
Vol 601-602 ◽  
pp. 1160-1172 ◽  
Author(s):  
Katherine M. Ransom ◽  
Bernard T. Nolan ◽  
Jonathan A. Traum ◽  
Claudia C. Faunt ◽  
Andrew M. Bell ◽  
...  
Keyword(s):  
Machine Learning ◽  
Nitrate Concentration ◽  
Central Valley ◽  
Learning Model ◽  
Machine Learning Model ◽  
Hybrid Machine

scholarly journals Predicting heart disease using hybrid machine learning model

2021 ◽  
Vol 1916 (1) ◽  
pp. 012208
Author(s):  
G Renugadevi ◽  
G Asha Priya ◽  
B Dhivyaa Sankari ◽  
R Gowthamani
Keyword(s):  
Machine Learning ◽  
Heart Disease ◽  
Learning Model ◽  
Machine Learning Model ◽  
Hybrid Machine

scholarly journals Prediction of flotation efficiency of metal sulfides using an original hybrid machine learning model

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Rachel Cook ◽  
Keitumetse Cathrine Monyake ◽  
Muhammad Badar Hayat ◽  
Aditya Kumar ◽  
Lana Alagha
Keyword(s):  
Machine Learning ◽  
Learning Model ◽  
Metal Sulfides ◽  
Machine Learning Model ◽  
Hybrid Machine

Machine learning vs. hybrid machine learning model for optimal operation of a chiller

2018 ◽  
Vol 25 (2) ◽  
pp. 209-220 ◽  
Author(s):  
SungHo Park ◽  
Ki Uhn Ahn ◽  
Seungho Hwang ◽  
Sunkyu Choi ◽  
Cheol Soo Park
Keyword(s):  
Machine Learning ◽  
Learning Model ◽  
Optimal Operation ◽  
Machine Learning Model ◽  
Hybrid Machine
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