Kim, Y. H. (2025). Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short term memory neural network to copper price forecasting. Portuguese economic journal, 24(1), 151-169. https://doi.org/10.1007/s10258-024-00252-x
Chicago Style (17th ed.) CitationKim, Yong Hyong. "Application of Empirical Wavelet Transform, Particle Swarm Optimization, Gravitational Search Algorithm and Long Short Term Memory Neural Network to Copper Price Forecasting." Portuguese Economic Journal 24, no. 1 (2025): 151-169. https://doi.org/10.1007/s10258-024-00252-x.
MLA (9th ed.) CitationKim, Yong Hyong. "Application of Empirical Wavelet Transform, Particle Swarm Optimization, Gravitational Search Algorithm and Long Short Term Memory Neural Network to Copper Price Forecasting." Portuguese Economic Journal, vol. 24, no. 1, 2025, pp. 151-169, https://doi.org/10.1007/s10258-024-00252-x.