Forecasting monthly copper price: A comparative study of various machine learning-based methods
Author:
Publisher
Elsevier BV
Subject
Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science
Reference90 articles.
1. A combination of artificial neural network and random walk models for financial time series forecasting;Adhikari;Neural Comput. Appl.,2014
2. Forecasting copper prices using hybrid adaptive neuro-fuzzy inference system and genetic algorithms;Alameer;Nat. Resour. Res.,2019
3. A novel machine learning approach for evaluation of public policies: an application in relation to the performance of university researchers;Ballestar;Technol. Forecast. Soc. Change,2019
4. How K-Nearest Neighbor Parameters Affect its Performance, Argentine Symposium on Artificial Intelligence;Batista,2009
5. A comparative analysis of gradient boosting algorithms;Bentéjac;Artif. Intell. Rev.,2021
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