Add to ORKGIn this paper, artificial neural networks (ANN), which are known for their ability to model nonlinear systems and their inherent noise-filtering abilities, are used as O2 analyzer to predict O2 contents in a boiler at SHARQ petrochemical company in Saudi Arabia. The training data has been collected over duration of one month and used to train a neural network to develop neural based oxygen analyzer. The results are very promising
The problems of global warming and air pollution have led to enforcement of stringent constraints by...
The paper discusses the use of an artificial neural network to control the operation of wastewater t...
The problems of global warming and air pollution have led to enforcement of stringent constraints by...
In this paper, artificial neural networks (ANN), which are known for their ability to model nonlinea...
In this paper, artificial neural networks (ANN), which are known for their ability to model nonlinea...
Converter steelmaking process uses high-performance processing plants and a high level of process au...
Converter steelmaking process uses high-performance processing plants and a high level of process au...
Recent years has seen the emergence of a new paradigm in system’s identification known as Artifici...
Abstract. Nitric acid production plants emit small amounts of nitrogen oxides (NOx) to the environme...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
The oxygen content of the gas-fired boiler flue gas is used to monitor boiler combustion efficiency....
This paper discusses the application of artificial neural networks in the area of process monitoring...
A reliable model for any Wastewater Treatment Plant WWTP is essential in order to provide a tool for...
The paper discusses the use of an artificial neural network to control the operation of wastewater t...
Artificial neural networks (ANNs) are one of the most powerful and versatile tools provided by artif...
The problems of global warming and air pollution have led to enforcement of stringent constraints by...
The paper discusses the use of an artificial neural network to control the operation of wastewater t...
The problems of global warming and air pollution have led to enforcement of stringent constraints by...
In this paper, artificial neural networks (ANN), which are known for their ability to model nonlinea...
In this paper, artificial neural networks (ANN), which are known for their ability to model nonlinea...
Converter steelmaking process uses high-performance processing plants and a high level of process au...
Converter steelmaking process uses high-performance processing plants and a high level of process au...
Recent years has seen the emergence of a new paradigm in system’s identification known as Artifici...
Abstract. Nitric acid production plants emit small amounts of nitrogen oxides (NOx) to the environme...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
The oxygen content of the gas-fired boiler flue gas is used to monitor boiler combustion efficiency....
This paper discusses the application of artificial neural networks in the area of process monitoring...
A reliable model for any Wastewater Treatment Plant WWTP is essential in order to provide a tool for...
The paper discusses the use of an artificial neural network to control the operation of wastewater t...
Artificial neural networks (ANNs) are one of the most powerful and versatile tools provided by artif...
The problems of global warming and air pollution have led to enforcement of stringent constraints by...
The paper discusses the use of an artificial neural network to control the operation of wastewater t...
The problems of global warming and air pollution have led to enforcement of stringent constraints by...