Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

Citations

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2. Jeonghwa Cha & Kyungbo Park & Hangook Kim & Jongyi Hong, 2023. "Crisis Index Prediction Based on Momentum Theory and Earnings Downside Risk Theory: Focusing on South Korea’s Energy Industry," Energies, MDPI, vol. 16(5), pages 1-20, February.
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