Classification of milk by means of an electronic nose and SVM neural network
The paper presents the application of support vector machine (SVM) neural approach to the calibration of the electronic nose arrangement for milk recognition. The semiconductor gas sensor array mounted into the measurement test chamber has been used to measure the odour. The pre-processed sensor sig...
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| Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2004-03, Vol.98 (2), p.291-298 |
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| container_end_page | 298 |
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| container_title | Sensors and actuators. B, Chemical |
| container_volume | 98 |
| creator | Brudzewski, K. Osowski, S. Markiewicz, T. |
| description | The paper presents the application of support vector machine (SVM) neural approach to the calibration of the electronic nose arrangement for milk recognition. The semiconductor gas sensor array mounted into the measurement test chamber has been used to measure the odour. The pre-processed sensor signals are applied to the SVM neural network performing the role of recognition and classification of the milk. The results of numerical experiments of the recognition of different types of milk have been presented and discussed. |
| doi_str_mv | 10.1016/j.snb.2003.10.028 |
| format | Article |
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The results of numerical experiments of the recognition of different types of milk have been presented and discussed.</description><subject>Milk classification</subject><subject>Neural network</subject><subject>Support vector machine</subject><issn>0925-4005</issn><issn>1873-3077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOD5-gLus3LXeNG2a4EoGXzDiwsc2pGkCmWmTMeko8-9NGdeuDudwzoX7IXRFoCRA2M26TL4rKwCafQkVP0ILwltaUGjbY7QAUTVFDdCcorOU1gBQUwYLtFoOKiVnnVaTCx4Hi0c3bHC3x6NRPs2B8tgMRk8xeKexD8nkqMdvny_Ym11UQ5bpJ8TNBTqxakjm8k_P0cfD_fvyqVi9Pj4v71aFpqKaCkaJ6bgSbVdBTXTX6070lHUEmg44F1bbnijLm8pqrgUhDYNegLGW6VrUPT1H14e72xi-diZNcnRJm2FQ3oRdkkRUDDhluUgORR1DStFYuY1uVHEvCciZm1zLzE3O3OYoc8ub28PG5A--nYkyaWe8Nr2LGYLsg_tn_QtdMHXm</recordid><startdate>20040315</startdate><enddate>20040315</enddate><creator>Brudzewski, K.</creator><creator>Osowski, S.</creator><creator>Markiewicz, T.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20040315</creationdate><title>Classification of milk by means of an electronic nose and SVM neural network</title><author>Brudzewski, K. ; Osowski, S. ; Markiewicz, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-631eb8a97b2041cbdcb9d36b105b0889fcfd1af852fc8c911560d90eff6c494d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Milk classification</topic><topic>Neural network</topic><topic>Support vector machine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brudzewski, K.</creatorcontrib><creatorcontrib>Osowski, S.</creatorcontrib><creatorcontrib>Markiewicz, T.</creatorcontrib><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Sensors and actuators. B, Chemical</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brudzewski, K.</au><au>Osowski, S.</au><au>Markiewicz, T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification of milk by means of an electronic nose and SVM neural network</atitle><jtitle>Sensors and actuators. B, Chemical</jtitle><date>2004-03-15</date><risdate>2004</risdate><volume>98</volume><issue>2</issue><spage>291</spage><epage>298</epage><pages>291-298</pages><issn>0925-4005</issn><eissn>1873-3077</eissn><abstract>The paper presents the application of support vector machine (SVM) neural approach to the calibration of the electronic nose arrangement for milk recognition. The semiconductor gas sensor array mounted into the measurement test chamber has been used to measure the odour. The pre-processed sensor signals are applied to the SVM neural network performing the role of recognition and classification of the milk. The results of numerical experiments of the recognition of different types of milk have been presented and discussed.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.snb.2003.10.028</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0925-4005 |
| ispartof | Sensors and actuators. B, Chemical, 2004-03, Vol.98 (2), p.291-298 |
| issn | 0925-4005 1873-3077 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_19260836 |
| source | Elsevier ScienceDirect Journals |
| subjects | Milk classification Neural network Support vector machine |
| title | Classification of milk by means of an electronic nose and SVM neural network |
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