Journal Article10.1108/K-02-2014-0024
Mixed modified fruit fly optimization algorithm with general regression neural network to build oil and gold prices forecasting model
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TL;DR: The findings indicate that there is no obvious correlation between the price tendencies of oil and gold.
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Abstract: 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 historical price tendency charts of oil and gold, as well as cluster analysis, to discuss the correlation between the historical data of oil and gold prices. By referring to the technical index equation of stocks, the technical indices of oil and gold prices are calculated as the independent variable and the closing price as the dependent variable of the forecasting model. Findings – The findings indicate that there is no obvious correlation between the price tendencies of oil and gold. According to five evaluating i...
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Citations
Research on the Prediction of the Global Price of WTI Crude
Fei Xie
TL;DR: The prediction of global WTI crude oil prices is difficult due to significant price fluctuations and the sensitivity to the international economic situation. The ARIMA model is commonly used to forecast oil prices, and this article forecasts one-year future prices using this model. The conclusion suggests that the overall trend in the next year will be downward, and therefore investment in crude oil in the short term is not recommended.
Advanced Fruit Fly Optimization Algorithm and Its Application to Irregular Subarray Phased Array Antenna Synthesis
TL;DR: The proposed OLFOA can achieve better performance than other improved evolutionary algorithms and is applied to handle the subarray array synthesis of several tough planar and circular apertures with different array sizes and subarray shapes.
A novel parametric model for nonlinear hysteretic behaviours with strain-stiffening of magnetorheological gel composite
TL;DR: In this paper , a parametric model was developed to track the nonlinear hysteretic behaviors with strain-stiffening of the magnetorheological (MR) gels, which can effectively address the issue of particle agglomeration in MR fluids, enhancing the controllability of materials in engineering applications.
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