SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization for Agricultural Time-Series Prediction
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- Lauren Gravitz, 2019. "The forgotten part of memory," Nature, Nature, vol. 571(7766), pages 12-14, July.
- Tserenpurev Chuluunsaikhan & Ga-Ae Ryu & Kwan-Hee Yoo & HyungChul Rah & Aziz Nasridinov, 2020. "Incorporating Deep Learning and News Topic Modeling for Forecasting Pork Prices: The Case of South Korea," Agriculture, MDPI, vol. 10(11), pages 1-22, October.
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Keywords
sparse critical event-driven LSTM (SCE-LSTM); forecasting; pork consumption; unstructured big data;All these keywords.
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