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subject:"Expertensystem"
~isPartOf:"European journal of operational research : EJOR"
~subject:"Neural networks"
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Search: subject_exact:"Computational intelligence"
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Expertensystem
Neural networks
Artificial intelligence
76
Künstliche Intelligenz
76
Machine learning
48
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35
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35
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28
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2
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European journal of operational research : EJOR
International journal of production research
24
Risks : open access journal
14
International journal of forecasting
13
Journal of risk and financial management : JRFM
13
Decision analytics journal
12
Technological forecasting & social change : an international journal
12
Computational economics
9
Computers & operations research : and their applications to problems of world concern ; an international journal
8
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International journal of business information systems : IJBIS
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IEEE transactions on engineering management : EM
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International journal of financial engineering
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International journal of networking and virtual organisations : IJNVO
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Applied economics letters
4
Electronic markets : EM ; the international journal of electronic commerce and business media
4
Empirical economics : a quarterly journal of the Institute for Advanced Studies
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Energy economics
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Financial innovation : FIN
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Intelligent systems in accounting, finance & management
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Journal of economic dynamics & control
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NBER working paper series
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The Journal of finance and data science : JFDS
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ECONIS (ZBW)
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1
An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Monaci, Marta
;
Agasucci, Valerio
;
Grani, Giorgio
- In:
European journal of operational research : EJOR
312
(
2024
)
3
,
pp. 910-926
Persistent link: https://www.econbiz.de/10014456446
Saved in:
2
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Bouška, Michal
;
Šůcha, Přemysl
;
Novak, Antonin
; …
- In:
European journal of operational research : EJOR
308
(
2023
)
3
,
pp. 990-1006
Persistent link: https://www.econbiz.de/10014311872
Saved in:
3
Deep reinforcement learning for inventory control : a roadmap
Boute, Robert N.
;
Gijsbrechts, Joren
;
Jaarsveld, Willem van
- In:
European journal of operational research : EJOR
298
(
2022
)
2
,
pp. 401-412
Persistent link: https://www.econbiz.de/10013206863
Saved in:
4
Voting : a machine learning approach
Burka, Dávid
;
Puppe, Clemens
;
Szepesváry, László
; …
- In:
European journal of operational research : EJOR
299
(
2022
)
3
,
pp. 1003-1017
Persistent link: https://www.econbiz.de/10013207217
Saved in:
5
An algorithm selection approach for the flexible job shop scheduling problem : choosing constraint programming solvers through machine learning
Müller, David
;
Müller, Marcus G.
;
Kress, Dominik
; …
- In:
European journal of operational research : EJOR
302
(
2022
)
3
,
pp. 874-891
Persistent link: https://www.econbiz.de/10013363794
Saved in:
6
Predicting mortgage early delinquency with machine learning methods
Chen, Shunqin
;
Guo, Zhengfeng
;
Zhao, Xinlei
- In:
European journal of operational research : EJOR
290
(
2021
)
1
,
pp. 358-372
Persistent link: https://www.econbiz.de/10012436411
Saved in:
7
Revealing pairs-trading opportunities with long short-term memory networks
Flori, Andrea
;
Regoli, Daniele
- In:
European journal of operational research : EJOR
295
(
2021
)
2
,
pp. 772-791
Persistent link: https://www.econbiz.de/10013206024
Saved in:
8
Recent advances in selection hyper-heuristics
Drake, John H.
;
Kheiri, Ahmed
;
Özcan, Ender
;
Burke, …
- In:
European journal of operational research : EJOR
285
(
2020
)
2
,
pp. 405-428
Persistent link: https://www.econbiz.de/10012239589
Saved in:
9
Predicting customer demand for remanufactured products : a data-mining approach
Truong Van Nguyen
;
Zhou, Li
;
Chong, Alain Yee Loong
; …
- In:
European journal of operational research : EJOR
281
(
2020
)
3
,
pp. 543-558
Persistent link: https://www.econbiz.de/10012157390
Saved in:
10
Predicting product return volume using machine learning methods
Cui, Hailong
;
Rajagopalan, Sampath
;
Ward, Amy R.
- In:
European journal of operational research : EJOR
281
(
2020
)
3
,
pp. 612-627
Persistent link: https://www.econbiz.de/10012157401
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