ANALYSIS OF THE POTENTIAL NICKEL COMMODITIES AS SUBJECT OF FUTURE CONTRACTS TO BE TRADED ON THE FUTURE EXCHANGES IN THE FRAMEWORK OF ESTABLISHING PRICE REFRENCE – COMMODITY FUTURES TRADING REGULATORY AGENCY (BAPEBTI), MINISTRY OF TRADE

Grabuma offers modern techniques using the machine learning (ML) system and hybrid model in providing services consultancy. The modern techniques are applied to each service that we offer to our clients. In early-stage exploration, we apply the ML system to predict the metal grades towards depth based on the immature hand auger drilling penetration. In grade estimation, we develops the hybrid models that combines the artificial neural networks (ANN) and the Swarm Intelligence & Physic based intelligence- metaheuristics models. This model involves the relevant variables such as grades, lithologies, alterations and other important variables to optimize the estimation. In resource classification, this also applies the machine learning methods