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 …
economic development. The price forecasting of non-ferrous metals is critical for investors …
Medium-to long-term nickel price forecasting using LSTM and GRU networks
Recently, nickel is a critical metal for manufacturing stainless steel, rechargeable electric
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …
Forecasting rare earth stock prices with machine learning
Rare earth elements (REEs) are indispensable for producing green technologies and
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
electronics. Demand for REEs in clean energy technologies in 2040 are projected to be …
[HTML][HTML] Fuzzy rule-based prediction of gold prices using news affect
P Hajek, J Novotny - Expert Systems with Applications, 2022 - Elsevier
Because of gold's value, systems for predicting its price have attracted extensive interest in
the scientific and industrial communities. Diverse artificial intelligence methods outperform …
the scientific and industrial communities. Diverse artificial intelligence methods outperform …
Forecasting copper price by application of robust artificial intelligence techniques
Metal price is one of the most important and effective parameters in assessing different
projects such as industry and mining. In this regard, price variations can play a vital role in …
projects such as industry and mining. In this regard, price variations can play a vital role in …
Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction
H Luo, D Wang, J Cheng, Q Wu - Resources Policy, 2022 - Elsevier
Accurate copper price forecasting plays a vital role in many aspects of economics. However,
the complicated fluctuations of copper price make it a challenging job. This study develops a …
the complicated fluctuations of copper price make it a challenging job. This study develops a …
Forecasting copper prices using hybrid adaptive neuro-fuzzy inference system and genetic algorithms
An accurate forecasting model for the price volatility of minerals plays a vital role in future
investments and decisions for mining projects and related companies. In this paper, a hybrid …
investments and decisions for mining projects and related companies. In this paper, a hybrid …
A review of state-of-the-art techniques for the determination of the optimum cut-off grade of a metalliferous deposit with a bibliometric map** in a surface mine …
P Biswas, RK Sinha, P Sen - Resources Policy, 2023 - Elsevier
In terms of the global share, 95% of the non-metallic minerals, 90% of the metallic minerals,
and about 60% of coal are being mined out through surface mining methods. In a mining …
and about 60% of coal are being mined out through surface mining methods. In a mining …
Copper price estimation using bat algorithm
The most effective parameter on the value of mining projects is metal price volatility.
Therefore, knowing the metal price volatility can help the managers and shareholders of the …
Therefore, knowing the metal price volatility can help the managers and shareholders of the …
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 …
severe price fluctuations, which have attracted great attention from academia and industry …