Performance Prediction of Circular Diamond Saws by Artificial Neural Networks and Regression Method Based on Surface Hardness Values of Mugla Marbles, Turkey

2019 ◽  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Performance Prediction ◽  
Surface Hardness ◽  
Regression Method ◽  
Artificial Neural ◽  
Hardness Values

Performance prediction of a RPF-fired boiler using artificial neural networks

2013 ◽  
Vol 38 (8) ◽  
pp. 995-1007 ◽  
Author(s):  
Shishir Kumar Behera ◽  
Eldon R. Rene ◽  
Min Choul Kim ◽  
Hung-Suck Park
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Performance Prediction ◽  
Artificial Neural

scholarly journals Performance Prediction of a Pump as Turbine: Sensitivity Analysis Based on Artificial Neural Networks and Evolutionary Polynomial Regression

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3497 ◽  
Author(s):  
Gabriella Balacco
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Performance Prediction ◽  
Polynomial Regression ◽  
Input Parameter ◽  
Regression Methods ◽  
Reverse Mode ◽  
Evolutionary Polynomial Regression ◽  
Starting Point ◽  
Artificial Neural

The research of a general methodology to predict the pump performance in a reverse mode, knowing those of a pump in a direct mode, is a question that is still open. The scientific research is making many efforts toward answering this question, but at present, there is still not much clarity. This consideration has been the starting point of this research that thanks to artificial neural networks and evolutionary polynomial regression methods have tried to investigate and define the real weight of every input parameter, representing the efficiency of a pump in a direct way, on the output parameters, and representing efficiency of a pump used like a turbine.

Sign in / Sign up

Export Citation Format

Share Document