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Recurrent support vector regression for a nonlinear ARMA model with applications to forecasting financial returns

Chen, Shiyi (contributor); Jeong, Kiho (contributor); … - 2008

Recurrent Support Vector Regression for a Nonlinear ARMA Model with Applications to Forecasting Financial Returns Abstract: Motivated by the recurrent Neural Networks, this paper proposes a recurrent Support Vector Regression (SVR) procedure to forecast nonlinear ARMA model based simulated data...

Persistent link: https://www.econbiz.de/10003770766

Modeling wine preferences by data mining from physicochemical properties

Cortez, Paulo; Cerdeira, António; Almeida, Fernando; … - In: Decision support systems : DSS ; the international journal 47 (2009) 4, pp. 547-553

Persistent link: https://www.econbiz.de/10003901706

Pattern recalling analysis of English alphabets using Hopfield model of feedback neural network with evolutionary searching

Kumar, Somesh; Singh, Manu Pratap - In: International journal of business information systems : … 6 (2010) 2, pp. 200-218

Persistent link: https://www.econbiz.de/10008664066

Forecasting volatility with support vector machine-based GARCH model

Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433

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A new approach to testing credit rating of financial debt issuers

O'Neill, T. J.; Penm, Jack H. W. - In: International journal of services and standards 3 (2007) 4, pp. 390-401

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Vorhersage kurzfristiger Aktienkursrenditen : Entwicklung eines maschinellen Lernverfahrens

Thom, Patrick René - 2012 - 1. Aufl.

Persistent link: https://www.econbiz.de/10009577201

A two-stage procedure for forecasting freight inspections at border inspections posts using SOMs and support vector regression

Ruiz-Aguilar, Juan Jesus; Turias, I. J.; Jiménez-Come, … - In: International journal of production research 53 (2015) 7, pp. 2119-2130

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A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems

Azadeh, Mohammad Ali; Boskabadi, Azam; Pashapour, Shima - In: International journal of services and operations management 21 (2015) 2, pp. 217-237

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HHT-based classification of composite power quality events

Saxena, D.; Singh, S. N.; Verma, K. S.; Singh, Shiv K. - In: International journal of energy sector management : IJESM 8 (2014) 2, pp. 146-159

Persistent link: https://www.econbiz.de/10010379441

Comparing the bank failure prediction performance of neural networks and support vector machines : the Turkish case

Ecer, Fatih - In: Economic research 26 (2013) 3, pp. 81-98

Persistent link: https://www.econbiz.de/10010196409