Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

Banner header
61.586 UPC E-Prints
You are here:
View Item 
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
  • Articles de revista
  • View Item
  •   DSpace Home
  • E-prints
  • Departaments
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
  • Articles de revista
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A learning system for adjustment processes based on human sensory perceptions

Thumbnail
View/Open
ViewPageProof_COGSYS_641.pdf (962,8Kb)
 
10.1016/j.cogsys.2018.06.011
 
  View Usage Statistics
  LA Referencia / Recolecta stats
Cita com:
hdl:2117/184967

Show full item record
Ruiz Vegas, Francisco JavierMés informacióMés informacióMés informació
Agell Jané, Núria
Angulo Bahón, CecilioMés informacióMés informacióMés informació
Sánchez Soler, MonicaMés informacióMés informacióMés informació
Document typeArticle
Defense date2018-12-01
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Creating, designing and adjusting products are essential decision processes underlying creative industries, such as painting, perfume, food and beverage industries. These processes require the participation and continuous supervision of professionals with highly-developed expert sensory abilities. Training of these experts is very complex due to the difficulty of transmitting intuitive knowledge obtained from perception. A new methodology for capturing this sensory expert knowledge that relies on a machine learning tool, previously trained with 'state-action’ type patterns, jointly with an actions generator module, is proposed in this work. The method is based on a closed loop architecture together with the decomposition of complex sensory knowledge into basic elements capable of being handled by standard machine learning systems. A real case application to color-adjustment in the automotive paint manufacturing industry is presented showing the potential benefits of the method.
CitationRuiz, F. [et al.]. A learning system for adjustment processes based on human sensory perceptions. "Cognitive systems research", 1 Desembre 2018, vol. 52, p. 58-66. 
URIhttp://hdl.handle.net/2117/184967
DOI10.1016/j.cogsys.2018.06.011
ISSN1389-0417
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S1389041717303005
Collections
  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.323]
  • Departament de Matemàtiques - Articles de revista [3.099]
  • GREC - Grup de Recerca en Enginyeria del Coneixement - Articles de revista [94]
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
ViewPageProof_COGSYS_641.pdf962,8KbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Privacy Settings
  • Inici de la pàgina