Architecture Optimization of a Non-Linear Autoregressive Neural Networks for Mackey-Glass Time Series Prediction Using Discrete Mycorrhiza Optimization Algorithm

Recurrent Neural Networks (RNN) are basically used for applications with time series and sequential data and are currently being used in embedded devices. However, one of their drawbacks is that RNNs have a high computational cost and require the use of a significant amount of memory space. Therefor...

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Bibliographic Details
Main Authors: Hector Carreon-Ortiz, Fevrier Valdez, Patricia Melin, Oscar Castillo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/14/1/149