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题名:
Soft-sensor Modeling of Product Particle Size in Ball Milling Circuits Based on Fuzzy Neural Networks with Particle Swarm Optimization
作者: Wu XG(吴星刚); Yuan MZ(苑明哲)
作者部门: 工业信息学研究室
会议名称: IEEE International Conference on Information and Automation (ICIA 2009)
会议日期: June 22-24, 2009
会议地点: Zhuhai, China
会议主办者: IEEE
会议录: ICIA: 2009 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-3
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2009
页码: 1433-1436
收录类别: EI ; CPCI(ISTP)
ISBN号: 978-1-4244-3607-1
摘要: By combining particle swarm optimization algorithm (PSO) with fuzzy neural networks (FNN), a PSO fuzzy neural networks (PSO-FNN) was proposed. Then PSO-FNN was applied in soft-sensor modeling of product particle size in ball milling circuits. The new method assumed that FNN was used to construct the soft-sensor modeling of product particle size while PSO was employed to optimize parameters of FNN. Experiment results show that the model based on PSO-FNN has higher precision and better performance than the model based on BPNN.
语种: 英语
产权排序: 1
EI收录号: 20094812499172
WOS记录号: WOS:000277076800261
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8410
Appears in Collections:工业信息学研究室_会议论文

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Recommended Citation:
Wu XG,Yuan MZ. Soft-sensor Modeling of Product Particle Size in Ball Milling Circuits Based on Fuzzy Neural Networks with Particle Swarm Optimization[C]. IEEE International Conference on Information and Automation (ICIA 2009). Zhuhai, China. June 22-24, 2009.Soft-sensor Modeling of Product Particle Size in Ball Milling Circuits Based on Fuzzy Neural Networks with Particle Swarm Optimization.
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