Optimised hybrid CNN-LSTM model for stock price prediction
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 management and decision making : IJMDM. - Geneva : Inderscience Enterprises Ltd., ISSN 1462-4621, ZDB-ID 2048013-1. - Vol. 23.2024, 4, p. 438-460
|
| Subject: | CNN | convolutional neural network | enhanced grey wolf optimisation | evolutionary computation | forecasting | GWO | hybrid model | long short-term memory | LSTM | MAE | MAPE | mean absolute error | mean absolute percentage error | RMSE | root mean square error | Prognoseverfahren | Forecasting model | Theorie | Theory | Neuronale Netze | Neural networks | Börsenkurs | Share price | Statistischer Fehler | Statistical error |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1504/IJMDM.2024.139387 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015067129