| 基于径向基神经网络的水饱和含氧量的数据拟合 |
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| 引用本文： | 琚新刚,董乐.基于径向基神经网络的水饱和含氧量的数据拟合[J].河南教育学院学报(自然科学版),2011(3):32-34. |
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| 作者姓名： | 琚新刚 董乐 |
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| 作者单位： | 河南教育学院电路与系统重点学科组;郑州文理学院教务处; |
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| 基金项目： | 国家科技支撑计划(2006BAK01A38); 河南省教育厅科技攻关项目(2009A510003); 郑州市科技攻关项目(10PTGG379-1) |
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| 摘 要： | 相关部门提供的标准大气压下水饱和含氧量标定值仅为离散温度点处的数据,这些数据显示了水的饱和含氧量与温度之间呈非线性关系,由此提出了利用Matlab函数创建径向基神经网络对既有标定数据进行分析、拟合.结果显示,该方法达到了误差目标,且较传统方法具有数据存储量小,网络学习时间短,收敛速度快的特点.
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| 关 键 词： | 径向基函数 神经网络 拟合 |
Data-Fitting Calibration for Oxygen Saturation of Water Based on Redial Basis Neural Network |
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| JU Xin-gang,DONG Le.Data-Fitting Calibration for Oxygen Saturation of Water Based on Redial Basis Neural Network[J].Journal of Henan Education Institute(Natural Science Edition),2011(3):32-34. |
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| Authors: | JU Xin-gang DONG Le |
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| Institution: | JU Xin-gang1,DONG Le2 (1.Group of Circuits and Systems Key Discipline,Henan Institute of Education,Zhengzhou 450046,China,2.Dean's Office,Zhengzhou University of Arts and Sciences,Zhengzhou 450052,China) |
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| Abstract: | Calibration data in the discrete temperature,provided by relevant departments,show a non-linear relationship between oxygen saturation of water and temperature.Meanwhile,calibration data are analyzed and fitted in radial basis neural network,which is constructed by a radial basis function in Matlab environment.The fitting result,obtained by the neural network simulation,shows that the method has reached the error goal,the amount of data storage is small,learning time is short,and convergence speed is fast. |
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| Keywords: | redial basis function neural networks fitting |
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