| 正交信号校正-插值-RBF法同时测定原料油中的铁、镍、钒 |
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| 引用本文： | 程正军,张运陶,杨志崧.正交信号校正-插值-RBF法同时测定原料油中的铁、镍、钒[J].分析科学学报,2006,22(5):514-518. |
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| 作者姓名： | 程正军 张运陶 杨志崧 |
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| 作者单位： | 1. 西华师范大学应用化学研究所,四川,南充,637002
2. 中国石油总公司西南油气田分公司南充炼油化工总厂,四川,南充,637000 |
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| 摘 要： | 提出了一种解析分光光度同时测定数据的正交信号校正-插值-RBF(OSC-Interp-RBF)网络方法。该法将光谱阵用浓度阵正交,滤除光谱与浓度阵无关的信号,再用一维线性插值处理使训练集样本对待辩识空间形成较好的覆盖,使RBF网络能够更有效地提取信息,从而提高预测的准确性。将该算法用于模拟原料油中铁、镍、钒的测定数据解析及实际样的组分浓度预测的结果表明,对于合成样预测结果与组分实际浓度的相对误差,及对于实际样预测结果与按常规测定方法获得的结果的相对误差,绝对值均小于10%,结果令人满意。
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| 关 键 词： | 正交信号校正 线性插值 RBF网络 分光光度法同时测定 |
| 文章编号： | 1006-6144(2006)05-0514-05 |
| 收稿时间： | 2005-07-19 |
| 修稿时间： | 2005-12-29 |
Application of orthogonal signal correction-Interpolation-RBF in Simultaneous Spectrophotometric Determination of Iron,Nicked and Vanadium in Raw Oil |
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| CHENG Zheng-jun,ZHANG Yun-tao,YANG Zhi-song.Application of orthogonal signal correction-Interpolation-RBF in Simultaneous Spectrophotometric Determination of Iron,Nicked and Vanadium in Raw Oil[J].Journal of Analytical Science,2006,22(5):514-518. |
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| Authors: | CHENG Zheng-jun ZHANG Yun-tao YANG Zhi-song |
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| Institution: | 1. Institute of Applied Chemistry 2. Nanchong Petroleum Refinery of ,China West Normal University ,Nanchong,Sichuan 637002; Petrolic Parent Company in China ,Nanchong,Sichuan 637000 |
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| Abstract: | A new orthogonal signal correction-linear interpolation-RBF(radial basis function) neural networks(OSC-Interp-RBF) approach is proposed to deal with the data obtained by spectrophotometry.With this method,noises in visible spectra are eliminated by orthogonal signal correction and linear interpolation is used to make specimen of training samples cover recognizable room better.As a result,RBF can collect characteristic information more efficiently and the accuracy of the prediction is improved.The contents of Fe,Ni and V in synthetic samples and raw oil samples are determined simultaneously by the proposed method.Relative error(RE) of synthetic samples and raw oil samples are less than 10%. |
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| Keywords: | Orthogonal signal correction Linear interpolation Radial basis function neural networks Simultaneous spectrophotometric determination |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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