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Forecasting US unemployment with radial basis neural networks, Kalman filters and support vector regressions

Stasinakis, Charalampos; Sermpinis, Georgios; … - In: Computational economics 47 (2016) 4, pp. 569-587

Persistent link: https://www.econbiz.de/10011712477

Forecasting public expenditure by using feed-forward neural networks

Magdalena, Radulescu; Logica, Banica; Zamfiroiu, Tatiana - In: Economic research 28 (2015) 1, pp. 668-686

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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

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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

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Comparison of near neighbour and neural network in travel forecasting

Olmedo, Elena - In: Journal of forecasting 35 (2016) 3, pp. 217-223

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Prediction in economic networks

Dhar, Vasant; Geva, Tomer; Oestreicher-Singer, Gal; … - In: Information systems research : ISR 25 (2014) 2, pp. 264-284

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A hybrid machine learning model for forecasting a billing period’s peak electric load days

Saxena, Harshit; Aponte, Omar; McConky, Katie T. - In: International journal of forecasting 35 (2019) 4, pp. 1288-1303

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Econometric versus neural network transportation forecasts

Fullerton, Thomas M.; Mukhopadhyay, Somnath; Walke, Adam G. - In: Asian African journal of economics and econometrics 18 (2018) 1, pp. 79-91

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Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is important to find a suitable tool to assess the future...

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Electricity price forecasting with neural networks on EPEX order books

Schnürch, Simon; Wagner, Andreas - In: Applied mathematical finance 27 (2020) 3, pp. 189-206

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