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 …
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 developing 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 …
Super learner ensemble model: A novel approach for predicting monthly copper price in future
J Zhao, S Hosseini, Q Chen, DJ Armaghani - Resources Policy, 2023 - Elsevier
Companies and governments dependent on copper mining need to be able to predict
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
copper prices in order to make important decisions. Despite the nonlinear and nonstationary …
Forecasting monthly copper price: A comparative study of various machine learning-based methods
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 …
industries. The complicated fluctuations of copper prices can significantly affect other …
Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques
The copper prices in international trade markets are volatile. An accurate copper price
prediction may guide commodity trading and firm profits in the copper industry. In this paper …
prediction may guide commodity trading and firm profits in the copper industry. In this paper …
[HTML][HTML] Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices
The success of the Multi-Layer Perceptron Neural Network (MLP) relies on carefully
configuring its weights and biases to promising values. The gradient descent technique is …
configuring its weights and biases to promising values. The gradient descent technique is …
Forecasting gold price changes by using adaptive network fuzzy inference system
A Yazdani-Chamzini, SH Yakhchali… - Journal of Business …, 2012 - Taylor & Francis
Developing a precise and accurate model of gold price is critical to assets management
because of its unique features. In this paper, adaptive neuro-fuzzy inference system (ANFIS) …
because of its unique features. In this paper, adaptive neuro-fuzzy inference system (ANFIS) …
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 …
Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm
Developing an accurate forecasting model for long-term gold price fluctuations plays a vital
role in future investments and decisions for mining projects and related companies. Viewed …
role in future investments and decisions for mining projects and related companies. Viewed …
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 …
used metal in the industry, has received an extensive attention recently. Due to the high …