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International journal of production research
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1
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
Saved in:
2
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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3
A neuroevolutionary approach to stochastic inventory control in multi-echelon systems
Prestwich, S. D.
;
Tarim, S. A.
;
Rossa, R.
;
Hnich, B.
- In:
International journal of production research
50
(
2012
)
8
,
pp. 2150-2160
Persistent link: https://www.econbiz.de/10009563738
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4
Combining neural networks and genetic algorithms for optimising the parameter design of the inter-metal dielectric process /Chia-Jen Chou and Li-Fei Chen
Chou, Chia-jen
;
Chen, Li-fei
- In:
International journal of production research
50
(
2012
)
7
,
pp. 1905-1916
Persistent link: https://www.econbiz.de/10009563780
Saved in:
5
Parametric design-based multi-objective optimisation for high-pressure turbine disc
Cui, Dongliang
;
Feng, Guoqi
;
Zhou, Ping
;
Zhang, Yajun
- In:
International journal of production research
55
(
2017
)
17/18
,
pp. 4847-4861
Persistent link: https://www.econbiz.de/10011723791
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6
Bayesian regularisation neural network based on artificial intelligence optimisation
Yan, Dingqi
;
Zhou, Qi
;
Wang, Jianzhou
;
Zhang, Na
- In:
International journal of production research
55
(
2017
)
7/8
,
pp. 2266-2287
Persistent link: https://www.econbiz.de/10011648545
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7
Cascade neural network algorithm with analytical connection weights determination for modelling operations and energy applications
Wang, Zhengxu
;
Khan, Waqar Ahmed
;
Ma, Hoi-Lam
;
Wen, Xin
- In:
International journal of production research
58
(
2020
)
23
,
pp. 7094-7111
Persistent link: https://www.econbiz.de/10012315579
Saved in:
8
Designing a multivariate-multistage quality control system using artificial neural networks
Niaki, Seyed Taghi Akhavan
;
Davoodi, Mehdi
- In:
International journal of production research
47
(
2009
)
1
,
pp. 251-271
Persistent link: https://www.econbiz.de/10003886773
Saved in:
9
A hybrid dynamic pre-emptive and competitive neural-network approach in solving the multi-objective dispatching problem for TFT-LCD manufacturing
Yang, Taho
;
Lu, Jiunn Chenn
- In:
International journal of production research
48
(
2010
)
15/16
,
pp. 4807-4828
Persistent link: https://www.econbiz.de/10003995950
Saved in:
10
A neuroendoctrine-inspired approach for adaptive manufacturing system control
Tang, Dunbing
;
Gu, Wenbin
;
Wang, Lei
;
Zheng, Kun
- In:
International journal of production research
49
(
2011
)
5
,
pp. 1255-1268
Persistent link: https://www.econbiz.de/10008856457
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