APA (7th ed.) Citation

Hao, T., Song, G., & Du, H. (2023). APSO-TA-LSTM: A long and short term memory model combining time attention and adaptive particle swarm optimization for stock forecasting. International Journal of General Systems, 52(7), 876. https://doi.org/10.1080/03081079.2023.2222888

Chicago Style (17th ed.) Citation

Hao, Tianyu, Gang Song, and Hongwei Du. "APSO-TA-LSTM: A Long and Short Term Memory Model Combining Time Attention and Adaptive Particle Swarm Optimization for Stock Forecasting." International Journal of General Systems 52, no. 7 (2023): 876. https://doi.org/10.1080/03081079.2023.2222888.

MLA (9th ed.) Citation

Hao, Tianyu, et al. "APSO-TA-LSTM: A Long and Short Term Memory Model Combining Time Attention and Adaptive Particle Swarm Optimization for Stock Forecasting." International Journal of General Systems, vol. 52, no. 7, 2023, p. 876, https://doi.org/10.1080/03081079.2023.2222888.