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Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization
- Source :
- IEEE transactions on neural networks. 22(3)
- Publication Year :
- 2011
-
Abstract
- This paper presents a novel offline modeling for product quality prediction of mineral processing which consists of a number of unit processes in series. The prediction of the product quality of the whole mineral process (i.e., the mixed concentrate grade) plays an important role and the establishment of its predictive model is a key issue for the plantwide optimization. For this purpose, a hybrid modeling approach of the mixed concentrate grade prediction is proposed, which consists of a linear model and a nonlinear model. The least-squares support vector machine is adopted to establish the nonlinear model. The inputs of the predictive model are the performance indices of each unit process, while the output is the mixed concentrate grade. In this paper, the model parameter selection is transformed into the shape control of the probability density function (PDF) of the modeling error. In this context, both the PDF-control-based and minimum-entropy-based model parameter selection approaches are proposed. Indeed, this is the first time that the PDF shape control idea is used to deal with system modeling, where the key idea is to turn model parameters so that either the modeling error PDF is controlled to follow a target PDF or the modeling error entropy is minimized. The experimental results using the real plant data and the comparison of the two approaches are discussed. The results show the effectiveness of the proposed approaches.
- Subjects :
- Mathematical optimization
Computer Networks and Communications
Computer science
Entropy
Models, Neurological
Probability density function
Machine learning
computer.software_genre
Least squares
Pattern Recognition, Automated
Entropy (classical thermodynamics)
Artificial Intelligence
Least squares support vector machine
Entropy (information theory)
Process control
Entropy (energy dispersal)
Entropy (arrow of time)
Minimum entropy
Minerals
Artificial neural network
Entropy (statistical thermodynamics)
business.industry
Model selection
Linear model
General Medicine
Systems modeling
Computer Science Applications
Support vector machine
Computer-Aided Design
Artificial intelligence
Neural Networks, Computer
Probability Learning
business
computer
Software
Algorithms
Entropy (order and disorder)
Forecasting
Subjects
Details
- ISSN :
- 19410093
- Volume :
- 22
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on neural networks
- Accession number :
- edsair.doi.dedup.....7ddcb3025496692fd5dc6f0c06b18afc