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<div><p>Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely challenging. Various methods,...

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Main Author:	Yishuai Yang (11435728) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified shows satisfactory performance recurrent neural networks national risk management mean absolute error least favorable case convolutional neural networks long sequence time long sequence predictions gold price predictions time series data optimized model demonstrates achieved high accuracy sequence data series forecasting high volatility gold prices various methods substantial improvement rnn ), predicted results model components model begins linear characteristics investment decision inherent limitations information features dense layer cnn ), classical statistics baseline model approximately 5 achieving reductions
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