Add to ORKGIn the refining industry, process control engineers have applied computer based advanced process control (APC) for 30 years and multivariable control for 15 years. Throughout this period, these techniques have relied on modelling product qualit
LOPES, Jose Soares Batista et al. Application of multivariable control using artificial neural netwo...
As a result of good modeling capabilities, neural networks have been used extensively for a number o...
The paper aims at describing an application of virtual sensors successfully implemented on a crude u...
This paper discusses the application of artificial neural networks in the area of process monitoring...
The development of neural network that could be used for the control of an industrial process is dis...
International audienceThe purpose of this chapter is to review the main applications of neural netwo...
Reactor temperature control is very important as it affects chemical process operations and the prod...
This paper presents two artificial neural networks (ANN) to predict pour point (PP) and cold filter ...
Crude oil atau minyak mentah merupakan bahan dasar untuk olahan produk minyak bumi yang diproses me...
Refinery optimisation requires accurate prediction of crucial product properties and yield of desir...
energy and process flow. As time passes, the performance of chemical process gradually degrades due ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.Includes...
This article presents the current status of the use of Artificial Neural Networks (ANNs) in process ...
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing...
This investigation demonstrates that neural networks can perform some of the tasks in controlling co...
LOPES, Jose Soares Batista et al. Application of multivariable control using artificial neural netwo...
As a result of good modeling capabilities, neural networks have been used extensively for a number o...
The paper aims at describing an application of virtual sensors successfully implemented on a crude u...
This paper discusses the application of artificial neural networks in the area of process monitoring...
The development of neural network that could be used for the control of an industrial process is dis...
International audienceThe purpose of this chapter is to review the main applications of neural netwo...
Reactor temperature control is very important as it affects chemical process operations and the prod...
This paper presents two artificial neural networks (ANN) to predict pour point (PP) and cold filter ...
Crude oil atau minyak mentah merupakan bahan dasar untuk olahan produk minyak bumi yang diproses me...
Refinery optimisation requires accurate prediction of crucial product properties and yield of desir...
energy and process flow. As time passes, the performance of chemical process gradually degrades due ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.Includes...
This article presents the current status of the use of Artificial Neural Networks (ANNs) in process ...
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing...
This investigation demonstrates that neural networks can perform some of the tasks in controlling co...
LOPES, Jose Soares Batista et al. Application of multivariable control using artificial neural netwo...
As a result of good modeling capabilities, neural networks have been used extensively for a number o...
The paper aims at describing an application of virtual sensors successfully implemented on a crude u...