Mixed modified fruit fly optimization algorithm with general regression neural network to build oil and gold prices forecasting model

@article{Pan2014MixedMF,
  title={Mixed modified fruit fly optimization algorithm with general regression neural network to build oil and gold prices forecasting model},
  author={Wen-Tsao Pan},
  journal={Kybernetes},
  year={2014},
  volume={43},
  pages={1053-1063}
}
Purpose – When facing a clouded global economy, many countries would increase their gold reserves. On the other hand, oil supply and demand depends on the political and economic situations of oil producing countries and their production technologies. Both oil and gold reserve play important roles in the economic development of a country. The paper aims to discuss this issue. Design/methodology/approach – This paper uses the historical data of oil and gold prices as research data, and uses the… CONTINUE READING

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