重庆邮电大学教师主页唐贤伦--Home-- Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization

Doctoral Degree in Engineering

With Certificate of Graduation for Doctorate Study

重庆大学

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Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization

Date of Publication:2009-01-01 Hits:

Affiliation of Author(s):自动化学院
Journal:EXPERT SYSTEMS WITH APPLICATIONS
Note:30300
Document Code:LW002164
Volume:2009,36 (9)
Translation or Not:no
Date of Publication:2009-01-01

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Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization