Modeling and optimization method featuring multiple operating modes for improving carbon efficiency of iron ore sintering process
Authors:
- Xin ChenXCXin Chen
- Xiaoxia ChenXCXiaoxia Chen
- Min WuMWMin Wu
- Jinhua SheJSJinhua She
- 1 September 2016
- journal article
- Published by Elsevier in Control Engineering Practice
- Vol. 54, 117-128
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (61210011)
- Hubei Provincial Natural Science Foundation of China (2015CFA010)
- Hunan Provincial Innovation Foundation for Postgraduate (CX2014B079)
This publication has 22 references indexed in Scilit:
- Numerical Modeling of the Iron Ore Sintering ProcessISIJ International, 2012
- Forecasting stock indices with back propagation neural networkExpert Systems with Applications, 2011
- PSO-based intelligent integration of design and control for one kind of curing processJournal of Process Control, 2010
- Performance comparison of differential evolution techniques on optimization of feeding profile for an industrial scale baker’s yeast fermentation processISA Transactions, 2010
- Intelligent integrated optimization and control system for lead–zinc sintering processControl Engineering Practice, 2009
- Canonical Correlation Analysis: An Overview with Application to Learning MethodsNeural Computation, 2004
- Process improvement methodology based on multivariate statistical analysis methodsControl Engineering Practice, 2004
- Metrics to ‘green’ chemistry—which are the best?Green Chemistry, 2002
- Principal component analysisChemometrics and Intelligent Laboratory Systems, 1987
- The Proof and Measurement of Association between Two ThingsThe American Journal of Psychology, 1987