Target prediction in blast furnace based on BP network optimized by variable neighborhood PSO
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...
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| Veröffentlicht in: | Functional Materials |
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| Datum: | 2016 |
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
НТК «Інститут монокристалів» НАН України
2016
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| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.ua/handle/123456789/121413 |
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| 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. |