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~isPartOf:"International journal of production research"
~subject:"Prognoseverfahren"
~subject:"Stochastic process"
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Prognoseverfahren
Stochastic process
Time series analysis
104
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84
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McAleer, Michael
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Incorporating risk measures in closed-loop supply chain network design
Soleiman, Hamed
;
Seyyed-Esfahani, Mirmehdi
;
Kannan, Govindan
- In:
International journal of production research
52
(
2014
)
6
,
pp. 1843-1867
Persistent link: https://www.econbiz.de/10010257281
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2
A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers
Medhi, Pankaj Kumar
;
Mondal, Sandeep
- In:
International journal of production research
54
(
2016
)
19/20
,
pp. 6071-6081
Persistent link: https://www.econbiz.de/10011543743
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3
A two-stage procedure for forecasting freight inspections at border inspections posts using SOMs and support vector regression
Ruiz-Aguilar, Juan Jesus
;
Turias, I. J.
;
Jiménez-Come, …
- In:
International journal of production research
53
(
2015
)
7
,
pp. 2119-2130
Persistent link: https://www.econbiz.de/10010514665
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4
A neural network-based methodology of quantifying the association between the design variables and the users' performances
Wong, Tse Chiu
;
Chan, H. S.
- In:
International journal of production research
53
(
2015
)
13
,
pp. 4050-4067
Persistent link: https://www.econbiz.de/10011302845
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5
Using artificial neural networks to predict container flows between the major ports of Asia
Tsai, Feng-Ming
;
Huang, Linda J. W.
- In:
International journal of production research
55
(
2017
)
17/18
,
pp. 5001-5010
Persistent link: https://www.econbiz.de/10011723863
Saved in:
6
Fuzzy neural network based yield prediction model for semiconductor manufacturing system
Wu, Lihui
;
Zhang, Jie
- In:
International journal of production research
48
(
2010
)
10/12
,
pp. 3225-3243
Persistent link: https://www.econbiz.de/10003975748
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7
A hybrid computer simulation-artificial neural network algorithm for optimisation of dispatching rule selection in stochastic job shop scheduling problems
Azadeh, Mohammad Ali
;
Negahban, A.
;
Moghaddam, M.
- In:
International journal of production research
50
(
2012
)
2
,
pp. 551-566
Persistent link: https://www.econbiz.de/10009549622
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8
Optimization of cutting parameters in face milling with neural networks and Taguchi based on cutting force, surface roughness and temperatures
Yalcin, Umit
;
Karaoglan, Aslan Deniz
;
Korkut, Ihsan
- In:
International journal of production research
51
(
2013
)
11
,
pp. 3403-3414
Persistent link: https://www.econbiz.de/10009774498
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9
A framework for identification of high-value customers by including social network baded variables for churn prediction using neuro-fuzzy techniques
Abbasimehr, Hossein
;
Setak, Mostafa
;
Soroor, Javad
- In:
International journal of production research
51
(
2013
)
4
,
pp. 1279-1294
Persistent link: https://www.econbiz.de/10009689206
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10
Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted of samples
Lesany, S. A.
;
Koochakzadeh, A.
;
Fatemi Ghomi, S. M. T.
- In:
International journal of production research
52
(
2014
)
6
,
pp. 1771-1786
Persistent link: https://www.econbiz.de/10010257293
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