| 基于混合粒子群算法的粮堆温度模型参数优化研究 |
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| 引用本文： | 王宝安,甄彤,郭嘉,吴建军,董志杰.基于混合粒子群算法的粮堆温度模型参数优化研究[J].河南工业大学学报(自然科学版),2012,33(3):81-84. |
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| 作者姓名： | 王宝安 甄彤 郭嘉 吴建军 董志杰 |
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| 作者单位： | 1. 枣庄职业学院,山东枣庄,277800
2. 河南工业大学信息科学与工程学院,河南郑州,450001 |
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| 基金项目： | “十一五”国家科技支撑项目(2006BAD08B01-4);河南工业大学研究生教育创新基金(10YJS042) |
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| 摘 要： | 粮库温度是非线性的时间序列,模型涉及参数众多,参数之间互有联系,波动较大,参数的取值直接影响到粮堆温度模型的准确性.提出应用混合粒子群算法在参数变化范围内确定最优参数值的方法,将参数取值范围看成粒子群空间范围,应用粒子群算法迭代选取最优值.经试验仿真证明此方法可以求解出合适的参数,与实际情况契合度高.
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| 关 键 词： | 粮温 线性回归 温度模型 |
PARAMETER OPTIMIZATION OF GRAIN BULK TEMPERATURE MODEL BASED ON HYBRID PARTICLE SWARM OPTIMIZATION |
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| WANG Bao-an
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ZHEN Tong
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GUO Jia
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WU Jian-jun
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DONG Zhi-jie.PARAMETER OPTIMIZATION OF GRAIN BULK TEMPERATURE MODEL BASED ON HYBRID PARTICLE SWARM OPTIMIZATION[J].Journal of Henan University of Technology Natural Science Edition,2012,33(3):81-84. |
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| Authors: | WANG Bao-an ZHEN Tong GUO Jia WU Jian-jun DONG Zhi-jie |
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| Affiliation: | 1.Zaozhuang Professional College,Zaozhuang 277800,China;2.School of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China) |
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| Abstract: | Because the temperature of a grain depot is a nonlinear time sequence,and the temperature model is related to multiple parameters,which have relationship among them and large fluctuation.Therefore,the parameter value directly influences the accuracy of the grain bulk temperature model.In this paper,a method for determining optimum parameters in a parameter varying range by hybrid particle swarm optimization(PSO) was put forward.Taking the parameter value range as the space range of particle swarm,we used PSO to select the optimum parameters.Simulation tests showed that the method could obtain the proper parameters with high consistency with the actual situation. |
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| Keywords: | grain temperature linear regression temperature model |
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