Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.

Copper price prediction using LSTM recurrent neural network integrated simulated annealing algorithm.

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Copper is an important mineral and fluctuations in copper prices can affect the stable functioning of some countries' economies. Policy makers, futures traders and individual investors are very concerned about copper prices. In a recent paper, we use an artificial intelligence model long short-...

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Bibliographic Details
Main Authors: Jiahao Chen, Jiahui Yi, Kailei Liu, Jinhua Cheng, Yin Feng, Chuandi Fang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0285631

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https://doi.org/10.1371/journal.pone.0285631

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