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Soft-sensor modeling of cement raw material blending process based on fuzzy neural networks with particle swarm optimization
Wu XG(吴星刚); Yuan MZ(苑明哲); Yu HB(于海斌)
作者部门工业信息学研究室
会议名称International Conference on Computational Intelligence and Natural Computing, CINC 2009
会议日期June 6-7, 2009
会议地点Wuhan, China
会议主办者IEEE Computer Society
会议录名称Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing, CINC 2009
出版者IEEE
出版地Piscataway, NJ, United States
2009
页码158-161
收录类别EI ; CPCI(ISTP)
EI收录号20094512430513
WOS记录号WOS:000274875200040
产权排序1
ISBN号978-0-7695-3645-3
关键词Artificial Intelligence Blending Cements Computer Science Concrete Mixing Conjugate Gradient Method Fuzzy Neural Networks Sensor Networks
摘要

By combining particle swarm optimization algorithm (PSO) with fuzzy neural networks (FNN), a PSO fuzzy neural networks (PSO-FNN) was proposed, which takes full advantage of the global search ability of particle swarm optimization (PSO) algorithm and the local search ability of conjugate gradient algorithm with constraints. The new method assumed that FNN was used to construct the model of cement raw material blending process, 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
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10385
专题工业信息学研究室
通讯作者Wu XG(吴星刚)
作者单位1.Key Laboratory of Industrial Informatics, Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
2.Shenyang Institute of Automation Chinese Academy of Sciences, Liaoning 110016, China
推荐引用方式
GB/T 7714
Wu XG,Yuan MZ,Yu HB. Soft-sensor modeling of cement raw material blending process based on fuzzy neural networks with particle swarm optimization[C]//IEEE Computer Society. Piscataway, NJ, United States:IEEE,2009:158-161.
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