Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing
- 30 June 2016
- journal article
- research article
- Published by Springer Nature in JOM
- Vol. 68 (8) , 2089-2095
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Blast furnace and metallurgical coke's reactivity and its determination by thermal gravimetric analysisIronmaking & Steelmaking: Processes, Products and Applications, 2015
- A neural network based model of sinter quality and sinter plant performance indicesIronmaking & Steelmaking: Processes, Products and Applications, 2007
- Multivariate Image Analysis of Flames for Product Quality and Combustion Control in Rotary KilnsIndustrial & Engineering Chemistry Research, 2006
- Fuzzy Control of Micum Strength for Iron Ore SinterISIJ International, 2006
- Modeling of Combustion and Heat Transfer in an Iron Ore Sintering Bed with Considerations of Multiple Solid PhasesISIJ International, 2004
- Modeling and Simulation of Heat Front Propagation in the Iron Ore Sintering ProcessISIJ International, 2004
- Neural Network-Based Data Mining Techniques for Steel Making2003
- Neural Network Model of Burden Layer Formation Dynamics in the Blast Furnace.ISIJ International, 2001
- Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]IEEE Transactions on Automatic Control, 1997
- Fuzzy logic systems for engineering: a tutorialProceedings of the IEEE, 1995