A review of the applications of genetic algorithms to forecasting prices of commodities
K Drachal, M Pawłowski - Economies, 2021 - mdpi.com
This paper is focused on the concise review of the specific applications of genetic algorithms
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …
Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms
The focus of this study aims at develo** two novel hybrid intelligence models for
forecasting copper prices in the future with high accuracy based on the extreme learning …
forecasting copper prices in the future with high accuracy based on the extreme learning …
Copper price prediction using support vector regression technique
Predicting copper price is essential for making decisions that can affect companies and
governments dependent on the copper mining industry. Copper prices follow a time series …
governments dependent on the copper mining industry. Copper prices follow a time series …
Copper price variation forecasts using genetic algorithms
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 …
manner effective in problems, such as the variation in copper prices. Today, the price of …
Non-Ferrous Metal Price Point and Interval Prediction Based on Variational Mode Decomposition and Optimized LSTM Network
Y Zhao, J Chen, H Shimada, T Sasaoka - Mathematics, 2023 - mdpi.com
The accurate forecasting of metal prices is of great importance to industrial producers as the
supply of metal raw materials is a very important part of industrial production. The futures …
supply of metal raw materials is a very important part of industrial production. The futures …
Chaotic time series for copper's price forecast: neural networks and the discovery of knowledge for big data
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 …
series of the price of copper; based on different combinations of structure and possibilities of …
Latent Dirichlet allocation method-based nowcasting approach for prediction of silver price
Silver is a metal that offers significant value to both investors and companies. The purpose of
this study is to make an estimation of the price of silver. While making this estimation, it is …
this study is to make an estimation of the price of silver. While making this estimation, it is …
Big data on decision making in energetic management of copper mining
It is proposed an analysis of the related variables with the energetic consumption in the
process of concentrate of copper; specifically ball mills and SAG. The methodology …
process of concentrate of copper; specifically ball mills and SAG. The methodology …
Intelligent management of the energy in copper mining, using predictive supervision systems
In this work it is analyzed the case of Great Mining Chilean Enterprise show at present, due
to the sustained increase of the energetic costs that in the last years have generated a …
to the sustained increase of the energetic costs that in the last years have generated a …
Hybrid approach for forecasting stock exchange index combining statistical methods and artificial neural network
As stock exchange has a random and non-linear nature, predicting its related indexes with
minimal error has been a major challenge for researchers and investors. In this paper, by …
minimal error has been a major challenge for researchers and investors. In this paper, by …