Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin ZIARATI"'
Publikováno v:
Doğuş Üniversitesi Dergisi. 1:193-209
In a recent paper by authors (Ziarati and Ucan, January 2001) a Back Propagation-Artificial Neural Network (BP-ANN) was adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. It was argued that due to
Publikováno v:
Doğuş Üniversitesi Dergisi, Iss 5, Pp 193-209 (2002)
In a recent paper by authors (Ziarati and Ucan, January 2001) a Back Propagation-Artificial Neural Network (BP-ANN) was adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. It was argued that due to
Publikováno v:
Volume: 2, Issue: 1 120-128
Doğuş Üniversitesi Dergisi
Doğuş Üniversitesi Dergisi
In this paper, a Back Propagation-Artificial Neural Network BP-ANN has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine the parts requirements is the E
Publikováno v:
Doğuş Üniversitesi Dergisi, Iss 3, Pp 120-128 (2001)
In this paper, a Back Propagation-Artificial Neural Network (BP-ANN) has been adapted for predicting the required car parts quantities in a real and major auto parts supplier chain. The conventional approach to determine the parts requirements is the
American Society for Engineering Education, ASEE The concept of learning has invariably been related to a classroom environment and/or industrial seminars, workshops, etc. The recent development in Artificial Intelligence, particularly in Neural Netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ab6320cdf4480635103c897502fb0b
https://hdl.handle.net/11376/2038
https://hdl.handle.net/11376/2038