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~person:"Hruschka, Harald"
~person:"Kooths, Stefan"
~person:"O'Neill, Michael"
~subject:"Fuzzy-Set-Theorie"
~subject:"Germany"
~subject:"PC-Software"
~subject:"Wechselkurs"
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Neural networks
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Neuronale Netze
22
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20
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Consumer behaviour
8
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8
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7
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7
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6
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Hruschka, Harald
Kooths, Stefan
O'Neill, Michael
Nijkamp, Peter
11
Patuelli, Roberto
11
Reggiani, Aura
11
Zopounidis, Constantin
6
Azadeh, Mohammad Ali
5
Baetge, Jörg
5
Blien, Uwe
5
Franses, Philip Hans
5
Poddig, Thorsten
5
Wang, Shouyang
5
Chen, Toly
4
Dunis, Christian
4
Lai, Kin Keung
4
Wang, Yu-Cheng
4
Allen, David E.
3
Brabazon, Anthony
3
Gradojevic, Nikola
3
Homelen, Paul van
3
Härdle, Wolfgang
3
Jeong, Kiho
3
Levitan, Alan S.
3
Longhi, Simonetta
3
McAleer, Michael
3
Panda, Chakradhara
3
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3
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3
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3
Steiner, Manfred
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Wittkemper, Hans-Georg
3
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3
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3
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2
Anders, Ulrich
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Asadzadeh, Seyed Mohammad
2
Atsalaki, Ioanna G.
2
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2
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EvoFIN <1, 2007, Valencia>
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Universität Regensburg / Wirtschaftswissenschaftliche Fakultät
1
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Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
3
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2
Studies in computational intelligence : SCI
2
Applications of artificial intelligence in finance and economics
1
Dynamic competitive analysis in marketing : proceedings of the International Workshop on Dynamic Competitive Analysis in Marketing, Montréal, Canada, September 1 - 2, 1995
1
Natural computing in computational finance : volume 2 ; [the inspiration for this book was due in part to the success of EvoFIN 2008, the 2nd European Workshop on Evolutionary Computation in Finance and Economics. EvoFIN 2008 took place in conjunction with Evo* 2008 in Naples, Italy (26 - 28 March 2008).]
1
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ECONIS (ZBW)
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1
Natural computing in computational finance : volume 2 ; [the inspiration for this book was due in part to the success of EvoFIN 2008, the 2nd European Workshop on Evolutionary Comp...
Brabazon, Anthony
(
ed.
);
O'Neill, Michael
(
contributor
)
-
2009
Persistent link: https://www.econbiz.de/10009502677
Saved in:
2
A neuro-evolutionary approach for interest rate modelling
Bradley, Robert
;
Brabazon, Anthony
;
O'Neill, Michael
- In:
Natural computing in computational finance : volume 2 ; …
,
(pp. 75-93)
.
2009
Persistent link: https://www.econbiz.de/10009515158
Saved in:
3
Natural computing in computational finance ; [the inspiration for this book stemmed from the success of EvoFin 2007, the first European Workshop on Evolutionary Computation in Fina...
Brabazon, Anthony
(
ed.
);
O'Neill, Michael
(
contributor
)
-
2008
Persistent link: https://www.econbiz.de/10009490465
Saved in:
4
Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems
Kooths, Stefan
;
Mitze, Timo
;
Ringhut, Eric
- In:
Applications of artificial intelligence in finance and …
,
(pp. 145-173)
.
2004
Persistent link: https://www.econbiz.de/10002797320
Saved in:
5
Homogeneous and latent class versions of the neural net-multinomial logit model (NN-NML) : a semiparametric approach to analyze brand choice
Hruschka, Harald
;
Probst, Markus
;
Fettes, Werner
-
2001
Persistent link: https://www.econbiz.de/10001619754
Saved in:
6
Neuro-Fuzzy-Systeme zur Abbildung Erfahrungsregel-basierter Erwartungen in Konjunkturmodellen
Kooths, Stefan
-
1999
Persistent link: https://www.econbiz.de/10001364427
Saved in:
7
Artificial neural net - multinomial logit model : (ANN-MNL); a semiparametric approach to analyze brand choice
Hruschka, Harald
-
1999
Persistent link: https://www.econbiz.de/10013408243
Saved in:
8
Erfahrungsregeln und Konjunkturdynamik : Makromodelle mit Neuro-Fuzzy-generierten Erwartungen
Kooths, Stefan
-
1998
Persistent link: https://www.econbiz.de/10000986889
Saved in:
9
Erfahrungsregeln und Konjunkturdynamik : Makromodelle mit Neuro-Fuzzy-generierten Erwartungen
Kooths, Stefan
-
1998
Persistent link: https://www.econbiz.de/10012699299
Saved in:
10
Specification and estimation of nonlinear models with dynamic reference prices
Hruschka, Harald
;
Natter, Martin
- In:
Dynamic competitive analysis in marketing : proceedings …
,
(pp. 45-54)
.
1996
Persistent link: https://www.econbiz.de/10001319638
Saved in:
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