- Houssein E H, Dirar M, Abualigah L, et al. An efficient equilibrium optimizer with support vector regression for stock market prediction[J]. Neural Computing and Applications, 2021: 1-36. Link
- Houssein E H, Dirar M, Hussain K, et al. Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks[J]. Neural Computing and Applications, 2021, 33(11): 5965-5987. Link
- Das S, Sahu T P, Janghel R R, et al. Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm[J]. Neural Computing and Applications, 2021: 1-37. Link
- Dash R K, Nguyen T N, Cengiz K, et al. Fine-tuned support vector regression model for stock predictions[J]. Neural Computing and Applications, 2021: 1-15. Link
- Thakkar A, Patel D, Shah P. Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction[J]. Neural Computing and Applications, 2021: 1-16. Link
- Yan X, Weihan W, Chang M. Research on financial assets transaction prediction model based on LSTM neural network[J]. Neural Computing and Applications, 2021, 33(1): 257-270. Link
- Livieris I E, Stavroyiannis S, Iliadis L, et al. Smoothing and stationarity enforcement framework for deep learning time-series forecasting[J]. Neural Computing and Applications, 2021: 1-15. Link
- Singh S, Parmar K S, Kumar J. Soft computing model coupled with statistical models to estimate future of stock market[J]. Neural Computing and Applications, 1-19. Link
- Serrano W. The random neural network in price predictions[J]. Neural Computing and Applications, 2021: 1-19. Link
- Zafeiriou T, Kalles D. Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators[J]. Neural Computing and Applications, 2021: 1-26. Link