Prediction for permeability index of blast furnace based on VMD–PSO–BP model
Authors:
- 21 October 2023
- journal article
- research article
- Published by Springer Nature in Journal of Iron and Steel Research International
- Vol. 31 (3) , 573-583
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China Youth Fund Project (52004096)
This publication has 22 references indexed in Scilit:
- Prediction model of permeability index for blast furnace based on the improved multi-layer extreme learning machine and wavelet transformJournal of the Franklin Institute, 2018
- Review on Modeling and Simulation of Blast FurnaceSteel Research International, 2017
- A new intelligent method based on combination of VMD and ELM for short term wind power forecastingNeurocomputing, 2016
- Dynamic multi-swarm particle swarm optimizer with harmony searchExpert Systems with Applications, 2011
- Prediction and control for silicon content in pig iron of blast furnace by integrating artificial neural network with genetic algorithmIronmaking & Steelmaking: Processes, Products and Applications, 2010
- Effect of coke reactivity and nut coke on blast furnace operationIronmaking & Steelmaking: Processes, Products and Applications, 2009
- Exploring process data with the use of robust outlier detection algorithmsJournal of Process Control, 2003
- Some recent developments in PLS modelingChemometrics and Intelligent Laboratory Systems, 2001
- Exploring process dataJournal of Process Control, 2001
- Outlier Detection in Multivariate Analytical Chemical DataAnalytical Chemistry, 1998