Pregled bibliografske jedinice broj: 434413
Application of Artificial Neural Networks to Multiple Criteria Inventory Classification
Application of Artificial Neural Networks to Multiple Criteria Inventory Classification // Strojarstvo, 51 (2009), 4; 313-321 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 434413 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Artificial Neural Networks to Multiple Criteria Inventory Classification
Autori
Šimunović, Katica ; Šimunović, Goran ; Šarić, Tomislav
Izvornik
Strojarstvo (0562-1887) 51
(2009), 4;
313-321
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Analytical hierarchy process; Artificial intelligence; Multiple criteria inventory classification; Neural network
Sažetak
Inventory classification is very important part of inventory control which represents the technique of operational research discipline. A systematic approach to the inventory control and classification may have a significant influence on company competitiveness. The paper describes the results obtained by investigating the application of neural networks in multiple criteria inventory classification. Various structures of a back-propagation neural network have been analysed and the optimal one with the minimum Root Mean Square error selected. The predicted results are compared to those obtained by the multiple criteria classification using the analytical hierarchy process.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
152-1521781-2235 - Razvoj ERP sustava za digitalno poduzeće (Šarić, Tomislav, MZOS ) ( CroRIS)
Ustanove:
Strojarski fakultet, Slavonski Brod
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus