A comparative study of neural network to artificial noses
Artificial neural networks have been used to classify odor patterns and are showing promising results. In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different...
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creator | Ferreira, A.A. Ludermir, T.B. de Aquino, R.R.B. |
description | Artificial neural networks have been used to classify odor patterns and are showing promising results. In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different implementations of the radial basis function networks and the probabilistic neural network. All the models were tested with and without temporal processing. A complex data base with nine different classes was used in this paper |
doi_str_mv | 10.1109/IJCNN.2005.1556221 |
format | Conference Proceeding |
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In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different implementations of the radial basis function networks and the probabilistic neural network. All the models were tested with and without temporal processing. A complex data base with nine different classes was used in this paper</description><subject>Artificial neural networks</subject><subject>Contamination</subject><subject>Monitoring</subject><subject>Multi-layer neural network</subject><subject>Multilayer perceptrons</subject><subject>Neural networks</subject><subject>Nose</subject><subject>Pattern recognition</subject><subject>Power system modeling</subject><issn>2161-4393</issn><issn>2161-4407</issn><isbn>0780390482</isbn><isbn>9780780390485</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tKAzEYRoMXsK2-gG7yAjP-uU-WZfBSKXWj65LLH4i2TpmkSt9exbo68B344BByzaBlDOzt4qlfrVoOoFqmlOacnZAJZ5o1UoI5JVMwHQgLsuNn_0JYcUGmpbwBcGGtmBA7p2HY7tzoav5EWuo-HuiQ6AfuR7f5Qf0axndaB-rGmlMO-XcdCpZLcp7cpuDVkTPyen_30j82y-eHRT9fNpkZVZtgJBqnvZQiGm06ZDEp78H5ZGQXkgleWgQfogZteETjpQrInAGUELWYkZu_34yI692Yt248rI_J4htonkli</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Ferreira, A.A.</creator><creator>Ludermir, T.B.</creator><creator>de Aquino, R.R.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>A comparative study of neural network to artificial noses</title><author>Ferreira, A.A. ; Ludermir, T.B. ; de Aquino, R.R.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c74e7a6b443d7678e1df5bb0abf748cf7cb49e0bcd60672de7b45ce1a70e40d63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Artificial neural networks</topic><topic>Contamination</topic><topic>Monitoring</topic><topic>Multi-layer neural network</topic><topic>Multilayer perceptrons</topic><topic>Neural networks</topic><topic>Nose</topic><topic>Pattern recognition</topic><topic>Power system modeling</topic><toplevel>online_resources</toplevel><creatorcontrib>Ferreira, A.A.</creatorcontrib><creatorcontrib>Ludermir, T.B.</creatorcontrib><creatorcontrib>de Aquino, R.R.B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ferreira, A.A.</au><au>Ludermir, T.B.</au><au>de Aquino, R.R.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A comparative study of neural network to artificial noses</atitle><btitle>Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005</btitle><stitle>IJCNN</stitle><date>2005</date><risdate>2005</risdate><volume>4</volume><spage>2081</spage><epage>2086 vol. 4</epage><pages>2081-2086 vol. 4</pages><issn>2161-4393</issn><eissn>2161-4407</eissn><isbn>0780390482</isbn><isbn>9780780390485</isbn><abstract>Artificial neural networks have been used to classify odor patterns and are showing promising results. In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different implementations of the radial basis function networks and the probabilistic neural network. All the models were tested with and without temporal processing. A complex data base with nine different classes was used in this paper</abstract><pub>IEEE</pub><doi>10.1109/IJCNN.2005.1556221</doi></addata></record> |
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subjects | Artificial neural networks Contamination Monitoring Multi-layer neural network Multilayer perceptrons Neural networks Nose Pattern recognition Power system modeling |
title | A comparative study of neural network to artificial noses |
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