Forecasting Copper Prices Using Hybrid Adaptive Neuro- Fuzzy Inference System and Genetic Algorithms

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: SOLAR ENERGY SPRINGER Volume:
Keywords : Forecasting Copper Prices Using Hybrid Adaptive    
Abstract:
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 model is proposed to provide an accurate model fo
    
     
 
       

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