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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |