Indian stock market prediction using artificial neural networks on tick data
Year of publication: |
2019
|
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Authors: | Selvamuthu, Dharmaraja ; Kumar, Vineet ; Mishra, Abhishek |
Published in: |
Financial innovation : FIN. - Heidelberg : SpringerOpen, ISSN 2199-4730, ZDB-ID 2824759-0. - Vol. 5.2019, 16, p. 1-12
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Subject: | Neural Networks | Indian Stock Market Prediction | Levenberg-Marquardt | Scale Conjugate Gradient | Bayesian Regularization | Tick by tick data | Indien | India | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Aktienmarkt | Stock market | Börsenkurs | Share price |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1186/s40854-019-0131-7 [DOI] hdl:10419/237162 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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