Forecasting copper price by application of robust artificial intelligence techniques

Using Artificial Intelligence Techniques to Improve the Prediction of Copper Recovery by Leaching

(2020) Victor Flores et al.   Journal of Sensors

Practical Risk Assessment of Ground Vibrations Resulting from Blasting, Using Gene Expression Programming and Monte Carlo Simulation Techniques

(2020) Amir Mahdiyar et al.   Applied Sciences-Basel

Prediction of Flyrock in Mine Blasting: A New Computational Intelligence Approach

(2019) Hima Nikafshan Rad et al.   Natural Resources Research

Optimal Design of the Cement, Fly Ash, and Slag Mixture in Ternary Blended Concrete Based on Gene Expression Programming and the Genetic Algorithm

(2019) Wang   Materials

ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting

(2019) Xiang Lu et al.   Natural Resources Research

Prediction of surface tension of the binary mixtures containing ionic liquid using heuristic approaches; an input parameters investigation

(2019) Abolfazl Shojaeian et al.   JOURNAL OF MOLECULAR LIQUIDS

The application of artificial neural networks in metabolomics: a historical perspective

(2019) Kevin M. Mendez et al.   Metabolomics

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Crude oil price forecasting: a biogeography-based optimization approach

(2018) Hesam Dehghani et al.   Energy Sources Part B-Economics Planning and Policy

An adaptive forecasting approach for copper price volatility through hybrid and non-hybrid models

(2018) Diego García et al.   APPLIED SOFT COMPUTING

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

Volatility of main metals forecasted by a hybrid ANN-GARCH model with regressors

(2017) Werner Kristjanpoller R et al.   EXPERT SYSTEMS WITH APPLICATIONS

Uniaxial compressive strength prediction through a new technique based on gene expression programming

(2017) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

A new model based on gene expression programming to estimate air flow in a single rock joint

(2016) Manoj Khandelwal et al.   Environmental Earth Sciences

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

(2016) R Shirani Faradonbeh et al.   International Journal of Environmental Science and Technology

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush et al.   ENGINEERING WITH COMPUTERS

Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model

(2015) Werner Kristjanpoller et al.   EXPERT SYSTEMS WITH APPLICATIONS

Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model

(2015) Pablo Díaz-Rodríguez et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Correlating bubble points of ternary systems involving nine solvents and two ionic liquids using artificial neural network

(2013) Ali Zeinolabedini Hezave et al.   FLUID PHASE EQUILIBRIA

Prediction of steel prices: A comparison between a conventional regression model and MSSA

(2013) Martin Kapl et al.   Statistics and Its Interface

Prediction of peak ground acceleration by genetic expression programming and regression: A comparison using likelihood-based measure

(2012) Hamza Güllü   ENGINEERING GEOLOGY

Simulated Annealing-Based Ant Colony Algorithm for Tugboat Scheduling Optimization

(2012) Qi Xu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Empirical modeling of plate load test moduli of soil via gene expression programming

(2011) Ali Mollahasani et al.   COMPUTERS AND GEOTECHNICS

Prediction and controlling of flyrock in blasting operation using artificial neural network

(2009) M. Monjezi et al.   Arabian Journal of Geosciences

Using adaptive neuro-fuzzy inference system for hydrological time series prediction

(2007) Mohammad Zounemat-Kermani et al.   APPLIED SOFT COMPUTING

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS