Prediction for blast furnace silicon content in hot metal based on composite differential evolution algorithm and extreme learning machine

JIANG Zhao-hui; YIN Ju-ping; GUI Wei-hua; YANG Chun-hua

doi:10.7641/CTA.2016.50696

Home>Articles>Prediction for blast furnace silicon content in hot metal based on composite differential evolution algorithm and extreme learning machine

DOI: 10.7641/CTA.2016.50696

Prediction for blast furnace silicon content in hot metal based on composite differential evolution algorithm and extreme learning machine

JIANG Zhao-hui

YIN Ju-ping

GUI Wei-hua

YANG Chun-hua

Keywords：silicon content in hot metalprediction modelcomposite differentialextreme learning machine

Publication Date：2016-01-01

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：7( 1089-1095 )

Control Theory & Applications

PKUISTICEI

ISSN：1000-8152

Year, Vol.(Issue)：2016,33(8)