Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm
- Author
- GUANGHAO HU1 ; ZHIZHONG MAO1 ; DAKUO HE1 ; FEI YANG1
[1] School of Information Science & Engineering, Northeastern University, 11 WenHua Road, HePing District, Shenyang, 11004, China - Source
Computers & chemical engineering. 2011, Vol 35, Num 12, pp 2611-2617, 7 p ; ref : 1/4 p
- CODEN
- CCENDW
- ISSN
- 0098-1354
- Scientific domain
- Chemical engineering; Computer science
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Hybrid model Leaching process Negative correlation learning Simulation Support vector regression
- Keyword (fr)
- Agitation mécanique Analyse régression Classification à vaste marge Correction erreur Ensachage Evaluation performance Hydrométallurgie Lixiviation acide Modèle agrégé Modèle hybride Modélisation Optimisation Prédiction Réseau neuronal Résolution problème Système hybride
- Keyword (en)
- Stirring Regression analysis Vector support machine Error correction Bagging Performance evaluation Hydrometallurgy Acid leaching Aggregate model Hybrid model Modeling Optimization Prediction Neural network Problem solving Hybrid system
- Keyword (es)
- Agitación mecánica Análisis regresión Máquina ejemplo soporte Corrección error Ensacado Evaluación prestación Hidrometalurgía Lixiviación ácido Modelo agregado Modelo híbrido Modelización Optimización Predicción Red neuronal Resolución problema Sistema híbrido
- Keyword (de)
- Fehlekorrektur Hydrometallurgie Saures Auslaugen Optimierung
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D11 Metals. Metallurgy / 001D11B Production of metals / 001D11B05 Production of non ferrous metals. Process materials / 001D11B05B Hydrometallurgy
- Discipline
- Computer science : theoretical automation and systems Metals. Metallurgy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 24686014
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.compchemeng.2011.02.012 
https://dx.doi.org/10.1016/j.compchemeng.2011.02.012
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