Simultaneous quantitative UV spectrophotometric determination of multicomponents of amino acids using linear neural network
Simultaneous determination of multicomponents of six amino acids with a novel chemometric technique-a linear neural network (LNN) algorithm is reported in this study. Based on the data correlation coefficient and standard deviation method, 17 representative wavelength points are selected from the or...
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| Veröffentlicht in: | Computers & chemistry 2001-05, Vol.25 (3), p.239-243 |
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| container_end_page | 243 |
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| container_start_page | 239 |
| container_title | Computers & chemistry |
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| creator | Yin, Chunsheng Shen, Yang Liu, Shushen Yin, Qingsheng Guo, Weimin Pan, Zhongxiao |
| description | Simultaneous determination of multicomponents of six amino acids with a novel chemometric technique-a linear neural network (LNN) algorithm is reported in this study. Based on the data correlation coefficient and standard deviation method, 17 representative wavelength points are selected from the original UV spectral data (343 points) as the original input patterns for LNN to build a neural network model. The results obtained only by iterating 15 times is satisfying, with a correlation coefficient of 0.999 and a relative small standard deviation. |
| doi_str_mv | 10.1016/S0097-8485(00)00097-8 |
| format | Article |
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Based on the data correlation coefficient and standard deviation method, 17 representative wavelength points are selected from the original UV spectral data (343 points) as the original input patterns for LNN to build a neural network model. The results obtained only by iterating 15 times is satisfying, with a correlation coefficient of 0.999 and a relative small standard deviation.</description><subject>Algorithms</subject><subject>Amino acid</subject><subject>Amino Acids - analysis</subject><subject>Kalman filtering</subject><subject>Linear neural network</subject><subject>Multi-component</subject><subject>Neural Networks (Computer)</subject><subject>Simultaneous determination</subject><subject>Spectrophotometry, Ultraviolet</subject><subject>UV spectra</subject><issn>0097-8485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMtOxDAMRbMAMbw-AZQVgsWA00farhBCvCQkFjBsozR1IdAmJUlBiJ8nQ0ewZGFZtu-15UPIHoNjBoyf3ANUxbzMyvwQ4Aimao1s_rZnZMv7lzjIeMI2yIyxNK0y4Jvk6173YxekQTt6-jZKE3SQQb8jXTxSP6AKzg7PNtgeg9OKNhjQ9dpEjTXUtnRp18r2gzVogl-2ZJxbKpVuPB29Nk-00walowZHJ7uYwod1rztkvZWdx91V3iaLy4uH8-v57d3VzfnZ7VxlSRHmKuFVnjR5pnhVSqwxV9DmFZecpU3LSgltm9dZwaoywxjA2yThsiw51CChTrfJwbR3cPZtRB9Er73Crpu-FgWULCnSPArzSaic9d5hKwane-k-BQOxJC1-SIslUgEgYKqib391YKx7bP5cK8xRcDoJML75rtEJrzQahY12kbBorP7nxDd7m5No</recordid><startdate>20010501</startdate><enddate>20010501</enddate><creator>Yin, Chunsheng</creator><creator>Shen, Yang</creator><creator>Liu, Shushen</creator><creator>Yin, Qingsheng</creator><creator>Guo, Weimin</creator><creator>Pan, Zhongxiao</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20010501</creationdate><title>Simultaneous quantitative UV spectrophotometric determination of multicomponents of amino acids using linear neural network</title><author>Yin, Chunsheng ; Shen, Yang ; Liu, Shushen ; Yin, Qingsheng ; Guo, Weimin ; Pan, Zhongxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-c26952d54c698aebe5c0f596a613df18a0ff5b471984e98406f226a8860b0a0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Algorithms</topic><topic>Amino acid</topic><topic>Amino Acids - analysis</topic><topic>Kalman filtering</topic><topic>Linear neural network</topic><topic>Multi-component</topic><topic>Neural Networks (Computer)</topic><topic>Simultaneous determination</topic><topic>Spectrophotometry, Ultraviolet</topic><topic>UV spectra</topic><toplevel>online_resources</toplevel><creatorcontrib>Yin, Chunsheng</creatorcontrib><creatorcontrib>Shen, Yang</creatorcontrib><creatorcontrib>Liu, Shushen</creatorcontrib><creatorcontrib>Yin, Qingsheng</creatorcontrib><creatorcontrib>Guo, Weimin</creatorcontrib><creatorcontrib>Pan, Zhongxiao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computers & chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Chunsheng</au><au>Shen, Yang</au><au>Liu, Shushen</au><au>Yin, Qingsheng</au><au>Guo, Weimin</au><au>Pan, Zhongxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simultaneous quantitative UV spectrophotometric determination of multicomponents of amino acids using linear neural network</atitle><jtitle>Computers & chemistry</jtitle><addtitle>Comput Chem</addtitle><date>2001-05-01</date><risdate>2001</risdate><volume>25</volume><issue>3</issue><spage>239</spage><epage>243</epage><pages>239-243</pages><issn>0097-8485</issn><abstract>Simultaneous determination of multicomponents of six amino acids with a novel chemometric technique-a linear neural network (LNN) algorithm is reported in this study. Based on the data correlation coefficient and standard deviation method, 17 representative wavelength points are selected from the original UV spectral data (343 points) as the original input patterns for LNN to build a neural network model. The results obtained only by iterating 15 times is satisfying, with a correlation coefficient of 0.999 and a relative small standard deviation.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>11339406</pmid><doi>10.1016/S0097-8485(00)00097-8</doi><tpages>5</tpages></addata></record> |
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| ispartof | Computers & chemistry, 2001-05, Vol.25 (3), p.239-243 |
| issn | 0097-8485 |
| language | eng |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Algorithms Amino acid Amino Acids - analysis Kalman filtering Linear neural network Multi-component Neural Networks (Computer) Simultaneous determination Spectrophotometry, Ultraviolet UV spectra |
| title | Simultaneous quantitative UV spectrophotometric determination of multicomponents of amino acids using linear neural network |
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