| 遗传算法的聚丙烯熔融指数最优预报 |
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| 引用本文： | 张志猛,楼巍,刘兴高.遗传算法的聚丙烯熔融指数最优预报[J].计算机与应用化学,2011,28(7):843-846. |
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| 作者姓名： | 张志猛 楼巍 刘兴高 |
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| 作者单位： | 1. 浙江大学工业控制技术国家重点实验室,浙江,杭州,310027;浙江大学软件学院,浙江,杭州,310027
2. 浙江大学工业控制技术国家重点实验室,浙江,杭州,310027 |
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| 基金项目： | 国家自然科学基金(50876093); 浙江省杰出青年科学基金(R4100133); 浙江省科技厅国际合作(2009C3408); 国家863计划(2006AA05Z226) |
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| 摘 要： | 熔融指数只能通过人工取样、离线化验分析获得,时间滞后大,难以满足实时控制的要求,其软测量预报意义很大.本文提出了一种基于遗传算法的聚丙烯熔融指数最优预报方法.径向基函数(RBF)神经网络用来拟合输入与输出之间的非线性关系,用遗传算法对RBF神经网络权值进行优化.基于某石化企业聚丙烯生产过程采集的历史数据进行研究.根据反...
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| 关 键 词： | 遗传算法 径向基函数神经网络 熔融指数 |
The optimal prediction of melt index of polypropylene based on genetic algorithm |
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| Zhang Zhimeng,Li Jiubao,Liu Xinggao.The optimal prediction of melt index of polypropylene based on genetic algorithm[J].Computers and Applied Chemistry,2011,28(7):843-846. |
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| Authors: | Zhang Zhimeng Li Jiubao Liu Xinggao |
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| Affiliation: | Zhang Zhimeng~(1,2),Li Jiubao~1 and Liu Xinggao~1 (1.State Key Laboratory of Industrial Control Technology,Control Department,Zhejiang University,Hangzhou,310027,Zhenjing,China) (2.College of Software Technology,Zhejiang,China) |
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| Abstract: | Melt index(MI) is considered an important indicator of polypropylene product quality,which is usually evaluated off-line with an analytical procedure that takes almost two hours to complete in the laboratory,leaving the process without any real-time quality indicator during this period.An alternative is to develop on-line soft sensor of MI.An optimal melt index prediction modeling based on genetic algorithm is proposed.Radical basis function(RBF) neural network is used to characterize the nonlinearity betwe... |
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| Keywords: | genetic algorithm radical basis function neural network melt index |
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