| Autor: |
Goel Himanshu, Agarwal Monika, Chhabra Meghna, Som Bhupender Kumar |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Folia Oeconomica Stetinensia, Vol 23, Iss 2, Pp 116-131 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1898-0198 |
| DOI: |
10.2478/foli-2023-0022 |
| Popis: |
The paper focuses on the use of Artificial Neural Networks (ANNs) for forecasting time series data of the stock market since ANNs are dynamic and are more capable of handling complex data sets in comparison to conventional forecasting techniques such as regression, Logistic regression, and have massive potential for the prediction of stock market prices. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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