Application of an Artificial Neural Network to the Prediction of OH Radical Reaction Rate Constants for Evaluating Global Warming Potential

2015 ◽  
Vol 120 (8) ◽  
pp. 1854-1863 ◽  
Author(s):  
Thomas C. Allison
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Global Warming ◽  
Global Warming Potential ◽  
Rate Constants ◽  
Reaction Rate ◽  
Radical Reaction ◽  
Oh Radical ◽  
Reaction Rate Constants ◽  
Artificial Neural

scholarly journals Modeling of Chlorine Decay using Artificial Neural Network

2019 ◽  
Vol 9 (1S3) ◽  
pp. 174-176
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Reaction Rate ◽  
Ann Model ◽  
Nitrogenous Compounds ◽  
Reaction Rate Constants ◽  
Single Output ◽  
Artificial Neural ◽  
Chlorine Decay ◽  
Artificial Neural Network Ann

In this paper an attempt is made to model chlorine decay using Artificial Neural Network (ANN). Initial chlorine concentration, fast and slow reacting organic and nitrogenous compounds and reaction rate constants of the compounds are used as inputs to the ANN model and the chlorine decay at different points in the decay curve are evaluated. ANN is trained by two different methods namely single output model and multi output models. Predicted data are compared with observed using correlation coefficient. Result indicates multi output model able to model more accurately than single output model.

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