Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104753
Type: Artigo de evento
Title: Artificial Immune Systems For Classification Of Petroleum Well Drilling Operations
Author: Serapiao A.B.S.
Mendes J.R.P.
Miura K.
Abstract: This paper presents two approaches of Artificial Immune System for Pattern Recognition (CLONALG and Parallel AIRS2) to classify automatically the well drilling operation stages. The classification is carried out through the analysis of some mud-logging parameters. In order to validate the performance of AIS techniques, the results were compared with others classification methods: neural network, support vector machine and lazy learning. © Springer-Verlag Berlin Heidelberg 2007.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-38149118033&partnerID=40&md5=790c8032efc5a0e636206cabd140d869
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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