Deep Learning Based Prediction of Commodity Prices Using LSTM

• Published in: 2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 1708 - 1715
• Main Authors: Deepa, P.B., Daisy, Josephine
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.09.2023
• Subjects: Adaptation models; Computational modeling; Convolutional neural network (CNN); Deep learning; Finance; Long short-term memory (LSTM); Predictive models; Solid modeling; Stock market; Transfer learning; Uncertainty

Commodity price prediction using deep learning, specifically LSTM models, is a challenging task due to limited data, price volatility, and the complexity of capturing temporal dependencies. In recent years, various techniques have been explored to address these challenges, such as transfer learning,...