1. Bayona-Oré, S., & Cerna, R. (2021). Machine learning for price prediction for agricultural products. WSEAS Transactions on Business and Economics, 18, 969–977. https://doi.org/10.37394/23207.2021.18.92
2. Bishop, C. (1995). Neural networks for pattern recognition. Oxford University Press.
3. Chaiboonsri, C., & Wannapan, S. (2020). Nowcasting and forecasting for Thailand’s macroeconomic cycles using machine learning algorithms. In International symposium on integrated uncertainty in knowledge modelling and decision making (pp. 270–282). Springer.
4. Chakraborty, C., & Joseph, A. (2017). Machine learning at central banks (Staff Working Paper No. 647). Bank of England.
5. Chirapanda, S., Techasriprasert, S., Pratummin, S., Jain, S., & Wongtarua, P. (2009). Status and potential for the development of biofuels and rural renewable energy: Thailand. Asian Development Bank.