• Publications
  • Influence
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data
TLDR
A genetic algorithms based multi-objective optimization technique was utilized in the training process of a feed forward neural network, using noisy data from an industrial iron blast furnace, and several important trends were observed. Expand
  • 215
  • 8
NNDT - A Neural Network Development Tool
TLDR
A tool for analysis, modelling, simulation and prediction with feedforward and recurrent neural networks with Levenberg-Marquardt method. Expand
  • 18
  • 4
Method for the selection of inputs and structure of feedforward neural networks
TLDR
This paper presents a systematic method that can guide the selection of both input variables and a sparse connectivity of the lower layer of connections in feedforward neural networks of multi-layer perceptron type with one layer of hidden nonlinear units and a single linear output node. Expand
  • 54
  • 3
Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace—A Review
TLDR
A review of black-box models for short-term time-discrete prediction of the silicon content of hot metal produced in blast furnaces is presented. Expand
  • 58
  • 2
Analysing blast furnace data using evolutionary neural network and multiobjective genetic algorithms
Abstract Approximately one year's operational data of a TATA Steel blast furnace were subjected to a multiobjective optimisation using genetic algorithms. Data driven models were constructed forExpand
  • 38
  • 2
Cu―Zn separation by supported liquid membrane analyzed through Multi-objective Genetic Algorithms
Abstract Data driven models were constructed for the Cu―Zn separation process using Di (2-ethyl hexyl) phosphoric acid (D2EHPA) as the mobile carrier in a supported liquid membrane. The modelingExpand
  • 63
  • 2
Classification of blast furnace probe temperatures using neural networks
Classification of spatially distributed measurements in industrial processes is often a difficult task. A typical example is given by the interpretation of the gas temperatures from horizontal probesExpand
  • 25
  • 2
Nonlinear Prediction of the Hot Metal Silicon Content in the Blast Furnace
The processes in metallurgical industry are often extremely complex and measurements from their interior are scarce due to hostile conditions. Today's constraints on high productivity and minorExpand
  • 82
  • 1
Comparison of endotoxin release by different antimicrobial agents and the effect on inflammation in experimental Escherichia coli meningitis.
In a rabbit Escherichia coli meningitis model, endotoxin liberation and concentrations of leukocytes, tumor necrosis factor (TNF), and lactate were compared after a single intravenous dose ofExpand
  • 64
  • 1
On the Development of Predictive Models with Applications to a Metallurgical Process
A methodology for constructing useful predictive models, primarily intended for use on line by the process supervisors as a basis for decision making, is presented. The methodology mainly relies on aExpand
  • 24
  • 1
...
1
2
3
4
5
...