Modeling NYSE Composite US 100 Index with a hybrid SOM and MLP-BP neural model
Year of publication: |
March 2017
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Authors: | Beluco, Adriano ; Bandeira, Denise Lindstrom ; Beluco, Alexandre |
Published in: |
Journal of risk and financial management : JRFM. - Basel : MDPI, ISSN 1911-8074, ZDB-ID 2739117-6. - Vol. 10.2017, 1, p. 1-13
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Subject: | modeling financial indicators | NYSE indexes | self organizing maps | multilayer perceptron | back propagation algorithm | software Matlab | Neuronale Netze | Neural networks | Aktienindex | Stock index | USA | United States | Prognoseverfahren | Forecasting model | Theorie | Theory | Index | Index number | Wirtschaftsindikator | Economic indicator | Software |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.3390/jrfm10010006 [DOI] hdl:10419/178586 [Handle] |
Classification: | C53 - Forecasting and Other Model Applications ; E37 - Forecasting and Simulation |
Source: | ECONIS - Online Catalogue of the ZBW |
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