PCBA demand forecasting using an evolving Takagi-Sugeno system

M. van Rooijen, R.J. Almeida, U. Kaymak

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
2 Downloads (Pure)

Samenvatting

This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced in the electronic manufacturing (EMS) industry. An eTS fuzzy system is implemented in the R statistical programming language and is tested on both synthetic and real-world data. To our knowledge, this is one of the first applications of an evolving fuzzy system to forecast product demand. The results indicate that the evolving fuzzy system outperforms competing approaches for the application considered.

Originele taal-2Engels
TitelTAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence, 20-22 November 2015, Tainan, Taiwan
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's105-112
Aantal pagina's8
ISBN van geprinte versie978-1-4673-9606-6
DOI's
StatusGepubliceerd - 12 feb. 2016
EvenementConference on Technologies and Applications of Artificial Intelligence, TAAI 2015 - Tainan, Taiwan
Duur: 20 nov. 201522 nov. 2015

Congres

CongresConference on Technologies and Applications of Artificial Intelligence, TAAI 2015
Land/RegioTaiwan
StadTainan
Periode20/11/1522/11/15

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