| 小波软阈值径向基神经网络同时测定多组分混合物 |
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| 引用本文： | 高玲,任守信.小波软阈值径向基神经网络同时测定多组分混合物[J].光谱学与光谱分析,2004,24(1):106-110. |
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| 作者姓名： | 高玲 任守信 |
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| 作者单位： | 内蒙古大学化学化工学院,内蒙古,呼和浩特,010021 |
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| 基金项目： | 国家自然科学基金 (2 99650 0 1 )，内蒙古自然科学基金 (2 0 0 2 0 80 2 0 1 1 5)资助项目 |
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| 摘 要： | 建立了一种小波软阈值径向基函数神经网络 (STWRBFN)方法 ,同时定量分析了多组分混合物。结合小波软阈值法和径向基函数神经网络改进了回归质量。通过最佳化 ,选择了小波函数、小波分解水平(L)、阈值法类型和网络的伸展参数 (σ)。两个程序PSTWRBFN和PRBFN被设计执行STWRBFN和径向基函数神经网络 (RBFN)计算。实验结果表明STWRBFN是成功的且优于RBFN法 ,和经典的多变量线性回归(MLR)方法相比较 ,这两个方法更为有效
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| 关 键 词： | 小波软阈值法 潜变量回归 多组分同时测定 |
| 文章编号： | 1000-0593(2004)01-0106-05 |
| 修稿时间： | 2003年1月26日 |
Simultaneous Spectrophotometric Determination of Multicomponent Mixtures by a Soft Thresholding Wavelet-based Radial Basis Function Neural Network |
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| Ling Gao,Shou-xin Ren.Simultaneous Spectrophotometric Determination of Multicomponent Mixtures by a Soft Thresholding Wavelet-based Radial Basis Function Neural Network[J].Spectroscopy and Spectral Analysis,2004,24(1):106-110. |
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| Authors: | Ling Gao Shou-xin Ren |
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| Institution: | College of Chemistry and Chemical Engineering, Inner Mongolia University, Huhhot 010021, China. |
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| Abstract: | A Soft Thresholding Wavelet-based Radial Basis Function Neural network (STWRBFN) method was developed to perform simultaneous quantitative analysis of multicomponent mixtures. The quality of noise removal and regression was improved by combining wavelet soft thresholding with radial basis function neural network. Through optimization, the wavelet function, wavelet decomposition level (L), thresholding method and spread parameter sigma of RBFN were selected. Two-programs, i.e. PSTWRBFN and PRBFN, were designed to perform STWRBFN and RBFN calculations. Experimental results showed the STWRBFN method to be successful and better than RBFN. Comparing with classical multivariate linear regression, both the methods were more powerful. |
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| Keywords: | Wavelet soft thresholding Radial basis function neural network Simultaneous multicomponent analysis |
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