Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

Y Liu, C Yang, K Huang, W Gui - Knowledge-Based Systems, 2020 - Elsevier
Non-ferrous metals are indispensable industrial materials and strategic supports of national
economic development. The price forecasting of non-ferrous metals is critical for investors …

Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform

K Liu, J Cheng, J Yi - Resources Policy, 2022 - Elsevier
The metal prices play an important role in many aspects of economics. Copper, a widely
used metal in the industry, has received an extensive attention recently. Due to the high …

Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction

Y Huang, Y Bai, Q Yu, L Ding, Y Ma - Resources Policy, 2022 - Elsevier
Nonferrous metals are the basic materials and key strategic reserve resources for national
economic development. The fluctuation of metal prices seriously affects the development of …

Forecasting monthly copper price: A comparative study of various machine learning-based methods

H Zhang, H Nguyen, DA Vu, XN Bui, B Pradhan - Resources Policy, 2021 - Elsevier
Copper is one of the valuable natural resources, and it was widely used in many different
industries. The complicated fluctuations of copper prices can significantly affect other …

Point and interval prediction for non-ferrous metals based on a hybrid prediction framework

J Wang, X Niu, L Zhang, M Lv - Resources Policy, 2021 - Elsevier
As a bulk product with huge international circulation, non-ferrous metals have frequent and
severe price fluctuations, which have attracted great attention from academia and industry …

Copper price variation forecasts using genetic algorithms

R Carrasco, C Fernández-Campusano, I Soto… - … Conference on Applied …, 2019 - Springer
The use of genetic algorithms and techniques of big data support the decision-making of
manner effective in problems, such as the variation in copper prices. Today, the price of …

Application of a Hybrid model based on ICEEMDAN, Bayesian Hyperparameter Optimization GRU and the ARIMA in nonferrous metal price prediction

Y Huang, Y Bai, L Ding, YJ Zhu, YJ Ma - Cybernetics and Systems, 2023 - Taylor & Francis
Nonferrous metals are the basic materials for national economic development. Accurate and
robust price forecasting can effectively reduce investment costs and bring greater economic …

A novel copper price forecasting ensemble method using adversarial interpretive structural model and sparrow search algorithm

N Li, J Li, Q Wang, D Yan, L Wang, M Jia - Resources Policy, 2024 - Elsevier
Copper is a commodity whose price can accurately and swiftly reflect changes in the
macroeconomy due to its widespread use in the national economy and its strong industrial …

Chaotic time series for copper's price forecast: neural networks and the discovery of knowledge for big data

R Carrasco, M Vargas, I Soto, D Fuentealba… - … on Informatics and …, 2018 - Springer
We investigated the potential of Artificial Neural Networks (ANN), ANN to forecasts in chaotic
series of the price of copper; based on different combinations of structure and possibilities of …

Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm

J Ling, Z Zhong, H Wei - Computational Economics, 2024 - Springer
Copper prices are commonly used as indicators of economic development due to the
increased operational risks of copper trading companies caused by their fluctuations and the …