Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks.
Wandercleiton CardosoRenzo di FelicePublished in: DATA (2022)
Keyphrases
- artificial neural networks
- data mining
- predictive modeling
- soft computing
- evolutionary artificial neural networks
- prediction accuracy
- predictive model
- ann models
- computational intelligence
- knowledge discovery
- neural network
- feed forward artificial neural networks
- multi layer perceptron
- back propagation
- decision making
- data mining algorithms
- multilayer perceptron
- radial basis function
- data mining methods
- feed forward neural networks
- churn prediction
- data visualization
- prediction error
- elman network
- real world
- feed forward
- intrusion detection
- data mining techniques
- neural network model
- data mining problems
- prediction algorithm
- association rules
- using artificial neural networks
- decision support
- hidden layer
- business intelligence
- association rule mining
- computer science
- cluster analysis
- support vector
- case study
- decision trees
- genetic algorithm
- machine learning