Target prediction in blast furnace based on BP network optimized by variable neighborhood PSO

• Veröffentlicht in: Functional Materials
• Datum: 2016
• Hauptverfasser: Yang Kai, Zhijun He
• Format: Artikel
• Sprache: English
• Veröffentlicht: НТК «Інститут монокристалів» НАН України 2016
• Schlagworte: Modeling and simulation
• Online Zugang: https://nasplib.isofts.kiev.ua/handle/123456789/121413
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Zitieren: Target prediction in blast furnace based on BP network optimized by variable neighborhood PSO / Yang Kai, Zhijun He // Functional Materials. — 2016. — Т. 23, № 3. — С. 463-467. — Бібліогр.: 8 назв. — англ.

This paper combine the improved PSO algorithm (Analysis of Particle Swarm Optimization Algorithm) with the BP neural network for prediction of Silicon content in hot metal. Firstly, the varying visual mechanism is drawing into the standard PSO through changing the neighbor structure dynamically with...