Soft-sensor modeling of cement raw material blending process based on fuzzy neural networks with particle swarm optimization
文献类型：会议论文
| 作者 | Wu XG(吴星刚); Yuan MZ(苑明哲) ; Yu HB(于海斌)
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| 出版日期 | 2009 |
| 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 |
| 关键词 | Artificial intelligence Blending Cements Computer science Concrete mixing Conjugate gradient method Fuzzy neural networks Sensor networks |
| 页码 | 158-161 |
| 通讯作者 | 吴星刚 |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE Computer Society |
| 会议录 | Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing, CINC 2009
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, United States |
| 语种 | 英语 |
| ISBN号 | 978-0-7695-3645-3 |
| WOS记录号 | WOS:000274875200040 |
| 源URL | [http://ir.sia.cn/handle/173321/10385]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 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]. 见:International Conference on Computational Intelligence and Natural Computing, CINC 2009. Wuhan, China. June 6-7, 2009. |
入库方式： OAI收割
来源：沈阳自动化研究所
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