1 resultado para future directions
em Dalarna University College Electronic Archive
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- Aquatic Commons (4)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (1)
- Aston University Research Archive (32)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (26)
- Brock University, Canada (8)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- CaltechTHESIS (6)
- Cambridge University Engineering Department Publications Database (10)
- CentAUR: Central Archive University of Reading - UK (38)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (6)
- Cochin University of Science & Technology (CUSAT), India (2)
- Coffee Science - Universidade Federal de Lavras (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (9)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (146)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (10)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (5)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (9)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Glasgow Theses Service (3)
- Greenwich Academic Literature Archive - UK (2)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (10)
- Instituto Politécnico do Porto, Portugal (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (1)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (6)
- Portal de Revistas Científicas Complutenses - Espanha (4)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (49)
- Queensland University of Technology - ePrints Archive (333)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- RepoCLACAI - Consorcio Latinoamericano Contra el Aborto Inseguro (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (3)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (7)
- Research Open Access Repository of the University of East London. (1)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- Scielo España (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (26)
- Universidad Politécnica de Madrid (5)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Montréal (3)
- Université de Montréal, Canada (7)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (7)
- University of Queensland eSpace - Australia (24)
- University of Washington (8)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (3)
Resumo:
In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.