Design of Nonlinear Autoregressive Exogenous Model Based Intelligence Computing for Efficient State Estimation of Underwater Passive Target

In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target. In underwater scenarios, real-time motion parameters of p...

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Detalles Bibliográficos
Autores principales: Ali, Wasiq, Khan, Wasim Ullah, Raja, Muhammad Asif Zahoor, He, Yigang, Li, Yaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146196/
https://www.ncbi.nlm.nih.gov/pubmed/33947058
http://dx.doi.org/10.3390/e23050550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146196/
https://www.ncbi.nlm.nih.gov/pubmed/33947058
http://dx.doi.org/10.3390/e23050550

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