Predicting stock price using two-stage machine learning techniques
Jun Zhang, Lan Li, Wei Chen
| Year of publication: |
2021
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|---|---|
| Authors: | Zhang, Jun ; Li, Lan ; Chen, Wei |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 57.2021, 4, p. 1237-1261
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| Subject: | Fusion models | Adaptive neuro fuzzy inference system (ANFIS) | Stock market | Support vector regression (SVR) | Börsenkurs | Share price | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Fuzzy-Set-Theorie | Fuzzy sets | Aktienmarkt | Regressionsanalyse | Regression analysis | Mustererkennung | Pattern recognition | Neuronale Netze | Neural networks |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-020-10013-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012543291