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European journal of operational research : EJOR
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ECONIS (ZBW)
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1
Scalability of using restricted Boltzmann machines for combinatorial optimization
Probst, Malte
;
Rothlauf, Franz
;
Grahl, Jörn
- In:
European journal of operational research : EJOR
256
(
2017
)
2
,
pp. 368-383
Persistent link: https://www.econbiz.de/10011611962
Saved in:
2
TRANSFORM-ANN for online optimization of complex industrial processes : casting process as case study
Miriyala, Srinivas Soumitri
;
Subramanian, Venkat R.
; …
- In:
European journal of operational research : EJOR
264
(
2018
)
1
,
pp. 294-309
Persistent link: https://www.econbiz.de/10011801678
Saved in:
3
Further results on estimating inefficiency effects in stochastic frontier models
Tsionas, Efthymios G.
;
Mamatzakis, Emmanuel C.
- In:
European journal of operational research : EJOR
275
(
2019
)
3
,
pp. 1157-1164
Persistent link: https://www.econbiz.de/10011993677
Saved in:
4
Bitcoin price forecasting with neuro-fuzzy techniques
Atsalakis, George S.
;
Atsalaki, Ioanna G.
;
Pasiouras, Fotios
- In:
European journal of operational research : EJOR
276
(
2019
)
2
,
pp. 770-780
Persistent link: https://www.econbiz.de/10012003664
Saved in:
5
Wavelet-based option pricing : an empirical study
Liu, Xiaoquan
;
Cao, Yi
;
Ma, Chenghu
;
Shen, Liya
- In:
European journal of operational research : EJOR
272
(
2019
)
3
,
pp. 1132-1142
Persistent link: https://www.econbiz.de/10011942861
Saved in:
6
Deep neural networks, gradient-boosted trees, random forests : statistical arbitrage on the S&P 500
Krauss, Christopher
;
Do, Xuan Anh
;
Huck, Nicolas
- In:
European journal of operational research : EJOR
259
(
2017
)
2
,
pp. 689-702
Persistent link: https://www.econbiz.de/10011661795
Saved in:
7
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:
8
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
Saved in:
9
Forecasting the success of a new tourism service by a neuro-fuzzy technique
Atsalakis, George S.
;
Atsalaki, Ioanna G.
;
Zopounidis, …
- In:
European journal of operational research : EJOR
268
(
2018
)
2
,
pp. 716-727
Persistent link: https://www.econbiz.de/10011852790
Saved in:
10
The impact of special days in call arrivals forecasting : a neural network approach to modelling special days
Barrow, Devon
;
Kourentzes, Nikolaos
- In:
European journal of operational research : EJOR
264
(
2018
)
3
,
pp. 967-977
Persistent link: https://www.econbiz.de/10011802132
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