Stocks price prediction based on optimized echo state network by sparrow search algorithm
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40435-024-01405-8.pdf
Reference27 articles.
1. Sun A, Zhao T, Chen J, Chang J (2018) Comparative study: common ANN and LS-SVM exchange rate performance prediction. Chin J Electron 27(3):561–564. https://doi.org/10.1049/cje.2018.01.003
2. Adebiyi AA, Adewumi AO, Ayo CK (2014) Comparison of ARIMA and artificial neural networks models for stock price prediction. J Appl Math 2014:1–7. https://doi.org/10.1155/2014/614342
3. Lu H, Li D, Sun H (2015) Prediction for chaotic time series of optimized BP neural network based on PSO. Comput Eng Appl 51(02):224–229+264
4. Xiao C, Xia W, Jiang J (2020) Stock price forecast based on combined model of ARI–MA–LS–SVM. Neural Comput Appl. https://doi.org/10.1007/s00521-019-04698-5
5. Rezaei H, Faaljou H, Mansourfar G (2021) Stock price prediction using deep learning and frequency decomposition. Expert Syst Appl 169:114332. https://doi.org/10.1016/j.eswa.2020.114332
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