In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are studied and developed. The analyses carried out are aimed at the selection of the most appropriate NN structure for gas turbine simulation, in terms of both computational time of the NN training phase and accuracy and robustness with respect to measurement uncertainty. In particular, feed-forward NNs, with a single hidden layer and different numbers of neurons, trained by using a back-propagation learning algorithm are considered and tested. Finally, a general procedure for the validation of computational codes is adapted and applied to the validation of the developed NN models
Downloaded Fhigh accuracy levels in predicting the plant behavior that are needed for cost optimizat...
This paper deals with the development of Artificial Intelligence (AI) tools for studying gas turbine...
The application of neural networks is one of promising ways to improve efficiency when diagnosing av...
In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are studied a...
In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are studied a...
none5noASME Paper GT2004-53421In this paper, Neural Network (NN) models for the real-time simulation...
In the paper, neural network (NN) models for gas turbine diagnostics are studied and developed. The ...
In the paper, Neural Networks (NNs) for the simulation of gas turbines are studied and developed in ...
ABSTRACT In the paper, Neural Network (NN) models for gas turbine diagnostics are studied and develo...
The paper deals with the set-up and the application of an Artificial Intelligence technique based on...
The objective of the paper is to assess the feasibility of the neural network (NN) approach in power...
This thesis investigates novel methodologies for modelling, simulation and control of gas turbines u...
The aim of this collaboration, between the division of Thermal Power Engineering and Lunds Energi AB...
Accurate simulations of gas turbines’ dynamic performance are essential for improvements in their pr...
Downloaded Fhigh accuracy levels in predicting the plant behavior that are needed for cost optimizat...
Downloaded Fhigh accuracy levels in predicting the plant behavior that are needed for cost optimizat...
This paper deals with the development of Artificial Intelligence (AI) tools for studying gas turbine...
The application of neural networks is one of promising ways to improve efficiency when diagnosing av...
In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are studied a...
In this paper, Neural Network (NN) models for the real-time simulation of gas turbines are studied a...
none5noASME Paper GT2004-53421In this paper, Neural Network (NN) models for the real-time simulation...
In the paper, neural network (NN) models for gas turbine diagnostics are studied and developed. The ...
In the paper, Neural Networks (NNs) for the simulation of gas turbines are studied and developed in ...
ABSTRACT In the paper, Neural Network (NN) models for gas turbine diagnostics are studied and develo...
The paper deals with the set-up and the application of an Artificial Intelligence technique based on...
The objective of the paper is to assess the feasibility of the neural network (NN) approach in power...
This thesis investigates novel methodologies for modelling, simulation and control of gas turbines u...
The aim of this collaboration, between the division of Thermal Power Engineering and Lunds Energi AB...
Accurate simulations of gas turbines’ dynamic performance are essential for improvements in their pr...
Downloaded Fhigh accuracy levels in predicting the plant behavior that are needed for cost optimizat...
Downloaded Fhigh accuracy levels in predicting the plant behavior that are needed for cost optimizat...
This paper deals with the development of Artificial Intelligence (AI) tools for studying gas turbine...
The application of neural networks is one of promising ways to improve efficiency when diagnosing av...