| 广义神经网络在织物热传递性能预测中的应用 |
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| 引用本文： | 魏安静,李泽应,王军,田丽,毕松梅.广义神经网络在织物热传递性能预测中的应用[J].安徽工程科技学院学报,2007,22(2):40-43. |
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| 作者姓名： | 魏安静 李泽应 王军 田丽 毕松梅 |
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| 作者单位： | 安徽工程科技学院,安徽省电气传动与控制重点实验室,安徽,芜湖,241000 |
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| 摘 要： | 在分析织物热传递性能与相关影响因素之间关系的基础上,建立了织物热传递性能预测的广义神经网络模型(GRNN).并与传统的BP网络模型仿真结果进行了比较,结果表明:GRNN网络设计简单,学习收敛快,在解决小样本问题的学习中,具有更好的的预测和泛化能力,验证了GRNN网络预测的优越性和有效性.
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| 关 键 词： | GRNN 神经网络 热传递性 预测 |
| 文章编号： | 1672-2477（2007）02-0040-04 |
| 修稿时间： | 2007-03-02 |
Application of GRNN in predicting heat permeability of the fabric |
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| WEI An-jing,LI Ze-ying,WANG Jun,TIAN Li,BI Song-mei.Application of GRNN in predicting heat permeability of the fabric[J].Journal of Anhui University of Technology and Science,2007,22(2):40-43. |
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| Authors: | WEI An-jing LI Ze-ying WANG Jun TIAN Li BI Song-mei |
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| Institution: | Anhui Prov. Key Lab. of Elec. and Contr. ,Anhui University of Technology and Science, Wuhu 241000, China |
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| Abstract: | The paper analyzes the relationship between the heat permeability of the fabric and relative factors,and then establishes the general regression neural network(GRNN) model for the heat permeability of the fabric forecast.Compared with the BP neural network,GRNN is simpler,the calculation time needed for convergence is shorter,and it can give better prediction and generalization performances in small sample space.The superiority and effectiveness of using GRNN to forecast the heat permeability of the fabric is demonstrated. |
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| Keywords: | GRNN neural network heat permeability prediction |
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