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~isPartOf:"Computers & operations research : and their applications to problems of world concern ; an international journal"
~isPartOf:"IEEE transactions on engineering management : EM"
~isPartOf:"Journal of business research : JBR"
~source:"econis"
~subject:"Theorie"
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Search: subject_exact:"Neuronale Netze"
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Altınel, İ. Kuban
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Computers & operations research : and their applications to problems of world concern ; an international journal
IEEE transactions on engineering management : EM
Journal of business research : JBR
International journal of forecasting
35
Journal of forecasting
33
Computational economics
32
Europäische Hochschulschriften / 5
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Betriebswirtschaftliche Anwendungen des Soft Computing : neuronale Netze, Fuzzy-Systeme und evolutionäre Algorithmen
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International journal of networking and virtual organisations : IJNVO
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Technological forecasting & social change : an international journal
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Economics letters
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren : Ergebnisse des 5. Karlsruher Ökonometrie-Workshops
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Journal of industrial engineering international
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Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
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ASTIN bulletin : the journal of the International Actuarial Association
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Digital finance : smart data analytics, investment innovation, and financial technology
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International Journal of Energy Economics and Policy : IJEEP
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International journal of production economics
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International review of financial analysis
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1
Optimal deep neural networks by maximization of the approximation power
Calvo Pardo, Héctor F.
;
Mancini, Tullio
;
Olmo, Jose
- In:
Computers & operations research : and their …
156
(
2023
),
pp. 1-15
Persistent link: https://www.econbiz.de/10014373690
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2
Data-driven robust optimization using deep neural networks
Goerigk, Marc
;
Kurtz, Jannis
- In:
Computers & operations research : and their …
151
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014234811
Saved in:
3
Time-varying mean-variance portfolio selection problem solving via LVI-PDNN
Katsikis, Vasilios N.
;
Mourtas, Spyridon D.
; …
- In:
Computers & operations research : and their …
138
(
2022
),
pp. 1-10
Persistent link: https://www.econbiz.de/10013040817
Saved in:
4
Multi-target CNN-LSTM regressor for predicting urban distribution of short-term food delivery demand
Crivellari, Alessandro
;
Beinat, Euro
;
Caetano, Sandor
; …
- In:
Journal of business research : JBR
144
(
2022
),
pp. 844-853
Persistent link: https://www.econbiz.de/10013185053
Saved in:
5
Efficient and sparse neural networks by pruning weights in a multiobjective learning approach
Reiners, Malena
;
Klamroth, Kathrin
;
Heldmann, Fabian
; …
- In:
Computers & operations research : and their …
141
(
2022
),
pp. 1-16
Persistent link: https://www.econbiz.de/10013185139
Saved in:
6
Predicting consumer gaze hits : a simulation model of visual attention to dynamic marketing stimuli
Rumpf, Christopher
;
Boronczyk, Felix
;
Breuer, Christoph
- In:
Journal of business research : JBR
111
(
2020
),
pp. 208-217
Persistent link: https://www.econbiz.de/10012237802
Saved in:
7
Predicting the antecedents of trust in social commerce : a hybrid structural equation modeling with neural network approach
Leong, Lai-Ying
;
Hew, Teck-Soon
;
Ooi, Keng-Boon
;
Chong, …
- In:
Journal of business research : JBR
110
(
2020
),
pp. 24-40
Persistent link: https://www.econbiz.de/10012237820
Saved in:
8
Unbalanced data, type II error, and nonlinearity in predicting M&A failure
Lee, Kangbok
;
Joo, Sunghoon
;
Baik, Hyeoncheol
;
Han, Sumin
; …
- In:
Journal of business research : JBR
109
(
2020
),
pp. 271-287
Persistent link: https://www.econbiz.de/10012238067
Saved in:
9
Application of optimized machine learning techniques for prediction of occupational accidents
Sarkar, Sobhan
;
Vinay, Sammangi
;
Raj, Rahul
;
Maiti, J.
; …
- In:
Computers & operations research : and their …
106
(
2019
),
pp. 210-224
Persistent link: https://www.econbiz.de/10012014413
Saved in:
10
Detecting and ranking cash flow risk factors via artificial neural networks technique
Namazi, Mohammad
;
Shokrolahi, Ahmad
;
Maharluie, …
- In:
Journal of business research : JBR
69
(
2016
)
5
,
pp. 1801-1806
Persistent link: https://www.econbiz.de/10011451021
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