Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data

Performance Analysis of Long Short-Term Memory Predictive Neural Networks on Time Series Data

Long short-term memory neural networks have been proposed as a means of creating accurate models from large time series data originating from various fields. These models can further be utilized for prediction, control, or anomaly-detection algorithms. However, finding the optimal hyperparameters to...

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Bibliographic Details
Main Authors: Roland Bolboacă, Piroska Haller
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
long short-term memory (LSTM)
recurrent neural network (RNN)
teacher forcing
prediction
performance analysis
benchmarking
Online Access:https://www.mdpi.com/2227-7390/11/6/1432

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https://www.mdpi.com/2227-7390/11/6/1432

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