Copper price estimation using bat algorithm
作者： Hesam Dehghani , Dejan Bogdanovic
DOI: 10.1016/J.RESOURPOL.2017.10.015
关键词:
摘要: Abstract The most effective parameter on the value of mining projects is metal price volatility. Therefore, knowing volatility can help managers and shareholders to make right decisions for extending or restricting activities. Nowadays, classical estimation methods cannot correctly estimate prices due their frequent variations in past years. For solving this problem, it necessary use artificial algorithms that have a good ability predict various phenomena. In paper, Bat algorithm was used copper Accordingly, Brownian motion with mean reversion (BMMR) chosen as suitable time series function root square error (RMSE) 0.449. Then, parameters equation were modified using algorithm. Finally, concluded determined 0.132 RMSE better than classic methods.
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