Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.Includes bibliographical references (leaves 55-57).Industrial production processes have traditionally been predicted using models whose structure is determined from domain specific knowledge. Steel production is an ex.ample of such a process, where conventional modeling techniques are based on knowledge of the materials and reactions involved. These models have several shortcomings, including the impossibility of constructing precise models, the inability to adapt to changing conditions, and the high cost of development. Because of these limitations, there is growing interest in applying methods which take a data driven approac...
Artificial Neural Network (ANN) computing is a soft-computing method that attempts to emulate the ba...
Este trabalho descreve o desenvolvimento de um modelo capaz de prever as condições operacionais do p...
The feed-forward back propagation neural (FFBPN) network method and multivariate data analysis are u...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The paper presents a method to predict blast furnace parameters based on artificial neural network (...
The main way to produce cast iron is in the blast furnace. In the production of hot metal, the contr...
The thermodynamic processes inside the Blast Furnace are very complex and it’s ex difficult to analy...
Iron and steel making processes are very complex in nature and we need prediction tools which can ac...
This paper proposes the use of artificial neural networks for the prediction of fuel consumption in ...
The main production route for cast iron and steel is through the blast furnace. The silicon content ...
The basic oxygen steelmaking (BOS) is a transient process, highly complex and is also subject to osc...
This paper describes how traditional analytical blast furnace (BF) models can be revived by the incl...
Translated from Japanese (Tetsu To Hugane 1991 v. 77(10) p. 1539-1543)Available from British Library...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This paper is intended to develop an artificial neural network (ANN) based model of material removal...
Artificial Neural Network (ANN) computing is a soft-computing method that attempts to emulate the ba...
Este trabalho descreve o desenvolvimento de um modelo capaz de prever as condições operacionais do p...
The feed-forward back propagation neural (FFBPN) network method and multivariate data analysis are u...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The paper presents a method to predict blast furnace parameters based on artificial neural network (...
The main way to produce cast iron is in the blast furnace. In the production of hot metal, the contr...
The thermodynamic processes inside the Blast Furnace are very complex and it’s ex difficult to analy...
Iron and steel making processes are very complex in nature and we need prediction tools which can ac...
This paper proposes the use of artificial neural networks for the prediction of fuel consumption in ...
The main production route for cast iron and steel is through the blast furnace. The silicon content ...
The basic oxygen steelmaking (BOS) is a transient process, highly complex and is also subject to osc...
This paper describes how traditional analytical blast furnace (BF) models can be revived by the incl...
Translated from Japanese (Tetsu To Hugane 1991 v. 77(10) p. 1539-1543)Available from British Library...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
This paper is intended to develop an artificial neural network (ANN) based model of material removal...
Artificial Neural Network (ANN) computing is a soft-computing method that attempts to emulate the ba...
Este trabalho descreve o desenvolvimento de um modelo capaz de prever as condições operacionais do p...
The feed-forward back propagation neural (FFBPN) network method and multivariate data analysis are u...