Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact


Show simple item record

dc.date.accessioned 2012-11-01T11:26:34Z
dc.date.available 2012-11-01T11:26:34Z
dc.date.issued 2001-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23381
dc.description.abstract This work presents the application of Artificial Neural Networks, in particular the ART2, for the customer clustering of a dentistry room. The input data used in the application is based on the odontological anamn esis that is a form with a questionnaire applied about the professional to identify the customer case history. The three proposed customer clustering (good, medium, bad) were created with basis on the buccal hygiene care and the similar habits among the cu stomers. The network is trained using non -supervised learning that can be fast or slow learning. Each input data line is formed by the number of interviewed customers (rows) and by the answered questions (columns). However, the first step was to transform the answers into binary cells. en
dc.language en es
dc.subject Clustering es
dc.subject Anamnesis en
dc.subject Odontología es
dc.subject Adaptative Resonance Theory en
dc.subject Neural nets es
dc.title Odontological patients clustering based on art2 neural network en
dc.type Objeto de conferencia es
sedici.creator.person Thiry, Marcello es
sedici.creator.person Borges, Paulo Sérgio da Silva es
sedici.creator.person Soares, Andrey es
sedici.description.note Eje: Sistemas inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext false es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2001-10
sedici.relation.event VII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es

Download Files

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)