| 基于文化微粒群Elman网络的航煤干点软测量模型 |
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| 引用本文： | 陈国初,俞金寿.基于文化微粒群Elman网络的航煤干点软测量模型[J].系统仿真学报,2011,23(10):2112-2117. |
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| 作者姓名： | 陈国初 俞金寿 |
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| 作者单位： | 1. 上海电机学院电气学院,上海,200240
2. 华东理工大学自动化研究所,上海,200237 |
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| 基金项目： | 上海市教委重点学科(J51901);上海市教委科研创新重点项目(09ZZ211); 上海市闵行区科技项目(2010MH169) |
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| 摘 要： | 将微粒群算法用于文化算法种群空间的优化，形成文化微粒群算法，并用常用测试函数检验该算法的性能；结果表明，文化微粒群算法具有比基本微粒群算法更好的优化性能。然后，籽文化微在群算法用于Elman网络连接权值和阎值的寻优，构成文化微粒群Elman网络，并将其应用于加氢裂化航煤于点软测量建模。结果表明，此模型精度高，应用前景广阔。
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| 关 键 词： | 文化算法 微粒群算法 Elman网络 加氢裂化 航煤干点 软测量 |
Soft-sensor Model of Jet Point Based on Cultural Particle Swarm Optimization Elman Network |
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| CHEN Guo-chu,YU Jin-shou.Soft-sensor Model of Jet Point Based on Cultural Particle Swarm Optimization Elman Network[J].Journal of System Simulation,2011,23(10):2112-2117. |
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| Authors: | CHEN Guo-chu YU Jin-shou |
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| Institution: | CHEN Guo-chu1,YU Jin-shou2(1.Electric Engineering School,Shanghai Dianji University,Shanghai 200240,China,2.Research Institute of Automation,East China University of Science and Technology,Shanghai 200237,China) |
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| Abstract: | Combining particle swarm optimization algorithm(PSO) with cultural algorithm(CA),cultural particle swarm optimization algorithm(CPSO) was proposed.Both CPSO and PSO were used to resolve the optimization problems of five widely used test functions,and the results show that CPSO has better performance than PSO.Then CPSO was used to optimize Elman neural network's weights and thresholds.And cultural particle swarm Elman neural network(CPSOENN) was constructed.Next,CPSOENN was applied in soft-sensor modeling in... |
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| Keywords: | cultural algorithm particle swarm optimization algorithm Elman neural network hydrocracking fractionator Jet point soft-sensor |
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