State Estimation of an Underwater Markov Chain Maneuvering Target Using Intelligent Computing

In this study, an application of deep learning-based neural computing is proposed for efficient real-time state estimation of the Markov chain underwater maneuvering object. The designed intelligent strategy is exploiting the strength of nonlinear autoregressive with an exogenous input (NARX) networ...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Wasiq, Li, Yaan, Raja, Muhammad Asif Zahoor, Khan, Wasim Ullah, He, Yigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471294/
https://www.ncbi.nlm.nih.gov/pubmed/34573749
http://dx.doi.org/10.3390/e23091124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471294/
https://www.ncbi.nlm.nih.gov/pubmed/34573749
http://dx.doi.org/10.3390/e23091124

Ejemplares similares