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~isPartOf:"International journal of production research"
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Künstliche Intelligenz
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Computational economics
International journal of production research
Springer eBook Collection
Technological forecasting & social change : an international journal
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NBER working paper series
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117
European journal of operational research : EJOR
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ECONIS (ZBW)
281
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261
Simple agents, intelligent markets
Jamal, Karim
;
Maier, Michael S.
;
Sunder, Shyam
- In:
Computational economics
49
(
2017
)
4
,
pp. 653-675
Persistent link: https://www.econbiz.de/10011762170
Saved in:
262
Can sentiment analysis and options volume anticipate future returns?
Houlihan, Patrick
;
Creamer Guillén, Germán
- In:
Computational economics
50
(
2017
)
4
,
pp. 669-685
Persistent link: https://www.econbiz.de/10011783471
Saved in:
263
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
Saved in:
264
New algorithm to minimise kinematic tool path errors around 5-axis machining singular points
My, Chu A.
;
Bohez, Erik L. J.
- In:
International journal of production research
54
(
2016
)
19/20
,
pp. 5965-5975
Persistent link: https://www.econbiz.de/10011543589
Saved in:
265
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
Saved in:
266
Automatic virtual metrology for wheel machining automation
Yang, Haw-Ching
;
Tieng, Hao
;
Cheng, Fan-Tien
- In:
International journal of production research
54
(
2016
)
21/22
,
pp. 6367-6377
Persistent link: https://www.econbiz.de/10011565550
Saved in:
267
Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
Heger, Jens
;
Branke, Jürgen
;
Hildebrandt, Torsten
; …
- In:
International journal of production research
54
(
2016
)
21/22
,
pp. 6812-6824
Persistent link: https://www.econbiz.de/10011565903
Saved in:
268
Using a genetic algorithm to improve recurrent reinforcement learning for equity trading
Zhang, Jin
;
Maringer, Dietmar G.
- In:
Computational economics
47
(
2016
)
4
,
pp. 551-567
Persistent link: https://www.econbiz.de/10011712464
Saved in:
269
Yield curve and recession forecasting in a Machine Learning framework
Gkonkas, Periklēs
;
Papadimitriou, Theophilos
; …
- In:
Computational economics
45
(
2015
)
4
,
pp. 635-645
Persistent link: https://www.econbiz.de/10011440977
Saved in:
270
Simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines
Kucukkoc, Ibrahim
;
Zhang, David Z.
- In:
International journal of production research
52
(
2014
)
12
,
pp. 3665-3687
Persistent link: https://www.econbiz.de/10010356952
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