Data-Driven Stability Assessment of Multilayer Long Short-Term Memory Networks

Data-Driven Stability Assessment of Multilayer Long Short-Term Memory Networks

Recurrent Neural Networks (RNNs) are increasingly being used for model identification, forecasting and control. When identifying physical models with unknown mathematical knowledge of the system, Nonlinear AutoRegressive models with eXogenous inputs (NARX) or Nonlinear AutoRegressive Moving-Average...

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Bibliographic Details
Main Authors: Davide Grande, Catherine A. Harris, Giles Thomas, Enrico Anderlini
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
multi-layer neural network
recurrent neural networks
system identification
stability analysis
Online Access:https://www.mdpi.com/2076-3417/11/4/1829

Internet

https://www.mdpi.com/2076-3417/11/4/1829

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