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Comparative study on forecasting model for stock index future price

Wang, Wenbo; Nie, He - In: Modern economy 9 (2018) 4, pp. 750-757

Persistent link: https://www.econbiz.de/10011871947

Inflation forecasting using a neural network

Nakamura, Emi - In: Economics letters 86 (2005) 3, pp. 373-378

Persistent link: https://www.econbiz.de/10002680487

Sztuczne sieci neuronowe w analizach ekonomicznych

Witkowska, Dorota - 2000

Persistent link: https://www.econbiz.de/10001560117

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

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

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

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

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

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

Feature extraction with hybrid neural networks

Wegmann, Georg - 2000

optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy. As … options written on the S&P 500 stock index. While option pricing theory typically requires a highly complex statistical model …

Persistent link: https://www.econbiz.de/10010504308

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