| 基于IOWGA算子的组合预测方法及其应用 |
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| 引用本文： | 王彬.基于IOWGA算子的组合预测方法及其应用[J].西北纺织工学院学报,2012(1):108-111. |
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| 作者姓名： | 王彬 |
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| 作者单位： | 山西大同大学数学与计算机科学学院,山西大同037009 |
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| 摘 要： | 针对汽车配件需求量的预测进行了预测模型的建立、选择并优化．特别是将灰色预测和神经网络预测与IOWGA算子相结合，提出了以对数误差平方和为准则的基于IOWGA算子的组合预测方法，从而提高了预测的精度。将该方法用于汽车配件需求预测取得了较好的效果，说明了算法的有效性．
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| 关 键 词： | 汽车配件 预测 灰色系统 神经网络 IOWGA组合预测 |
The combination forecasting method based on the IOWGA operator and its application |
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| WANG Bin.The combination forecasting method based on the IOWGA operator and its application[J].Journal of Northwest Institute of Textile Science and Technology,2012(1):108-111. |
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| Authors: | WANG Bin |
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| Affiliation: | WANG Bin ( Math Computer College, Shanxi Datong University, Datong,Shanxi 037009, China) |
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| Abstract: | The forecast model of auto parts demand was set up, selected and optimized. The grey prediction and neural network prediction were combined with IOWGA operator. According to sum square of the logarithm error, the combination forecasting method based on the IOWGA operator was put forward to improve the accuracy of the prediction. The method was used for auto parts demand forecast and obtained a better effect. It showed the effec- tiveness of the algorithm. |
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| Keywords: | auto parts forecasting grey system neural network IOWGA combined forecasting |
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