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Forecasting government bond yields with neural networks considering cointegration
Wegener, Christoph; Spreckelsen, Christian von; Basse, … - In: Journal of forecasting 35 (2016) 1, pp. 86-92
Persistent link: https://www.econbiz.de/10011417732
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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A neural network-based methodology of quantifying the association between the design variables and the users' performances
Wong, Tse Chiu; Chan, H. S. - In: International journal of production research 53 (2015) 13, pp. 4050-4067
Persistent link: https://www.econbiz.de/10011302845
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An investigation of the effect of variable reduction on classification accuracy rates of consumer loans
Zurada, Jozef - In: Review of business information systems 17 (2013) 4, pp. 135-139
Persistent link: https://www.econbiz.de/10010231895
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Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted of samples
Lesany, S. A.; Koochakzadeh, A.; Fatemi Ghomi, S. M. T. - In: International journal of production research 52 (2014) 6, pp. 1771-1786
Persistent link: https://www.econbiz.de/10010257293
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Forecasting period charter rates of VLCC tankers through neutral networks : a comparison of alternative approaches
Santos, André A. P.; Junkes, Luciano N.; Pires, … - In: Maritime economics & logistics : a quarterly scientific … 16 (2014) 1, pp. 72-91
Persistent link: https://www.econbiz.de/10010255429
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Security assessment and optimization of energy supply (neural networks approach)
Jasiński, Tomasz; Ścianowska, Agnieszka - In: Oeconomia Copernicana 6 (2015) 2, pp. 129-141
Persistent link: https://www.econbiz.de/10011503318
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Inventory policy characterisation methodologies for a single-product recoverable manufacturing system
Ahiska, Semra Sebnem; King, Russell E. - In: European journal of industrial engineering : EJIE 9 (2015) 2, pp. 222-243
Persistent link: https://www.econbiz.de/10011503608
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Neural networks would 'vote' according to Borda's rule
Burka, David; Puppe, Clemens; Szepesvary, Laszlo; … - 2016
network can be trained to respect two fundamental principles of voting theory, the unanimity principle and the Pareto property … to give a surprisingly clear-cut answer to one of the most fundamental and controversial problems in voting theory: the …
Persistent link: https://www.econbiz.de/10011558254
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Agent-based dynamic cross-docking
Klumpp, Matthias; Sandhaus, Gregor - In: Textsammlung zum deutsch-chinesischen Wissenschaftsdialog, (pp. 45-63). 2013
Based upon realtime location information of goods in this paper possible optimizations for cross-docking are evaluated. The use of agent-based decision support systems in order to identify the rescheduling alternatives with the highest business value are investigated.
Persistent link: https://www.econbiz.de/10010408092