Analysis of Lumber Prices Time Series Using Long Short-Term Memory Artificial Neural Networks

Analysis of Lumber Prices Time Series Using Long Short-Term Memory Artificial Neural Networks

This manuscript confirms the feasibility of using a long short-term memory (LSTM) recurrent neural network (RNN) to forecast lumber stock prices during the great and Coronavirus disease 2019 (COVID-19) pandemic recessions in the USA. The database was composed of 5012 data entries divided into recess...

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Bibliographic Details
Main Authors: Dercilio Junior Verly Lopes, Gabrielly dos Santos Bobadilha, Amanda Peres Vieira Bedette
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Forests
Subjects:
machine-learning
neural networks
random length
stock prices
forecasting
LSTM
Online Access:https://www.mdpi.com/1999-4907/12/4/428

Internet

https://www.mdpi.com/1999-4907/12/4/428

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