Optimised hybrid CNN bi-LSTM model for stock price forecasting
Deepti Patnaik and N.V. Jagannadha Rao, Brajabandhu Padhiari and Srikanta Patnaik
| Year of publication: |
2024
|
|---|---|
| Authors: | Patnaik, Deepti ; Rao, N. V. Jagannadha ; Padhiari, Brajabandhu ; Patnaik, Srikanta |
| Published in: |
International journal of intelligent enterprise. - Gen`eve : Inderscience, ISSN 1745-3240, ZDB-ID 2453805-X. - Vol. 11.2024, 3, p. 248-273
|
| Subject: | bidirectional long short-term memory | convolutional neural network | evolutionary computation | forecasting | hybrid model | LSTM | MAE | RMSE | SAMPE Jaya algorithm | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Börsenkurs | Share price | Theorie | Theory | Evolutionärer Algorithmus | Evolutionary algorithm | Algorithmus | Algorithm | Prognose | Forecast | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJIE.2024.139747 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015065340