Hybrid Particle Swarm Optimization for Multi-Sensor Data Fusion

A hybrid particle swarm optimization (PSO), able to overcome the large-scale nonlinearity or heavily correlation in the data fusion model of multiple sensing information, is proposed in this paper. In recent smart convergence technology, multiple similar and/or dissimilar sensors are widely used to...

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Detalles Bibliográficos
Autores principales: Kim, Hyunseok, Suh, Dongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165151/
https://www.ncbi.nlm.nih.gov/pubmed/30149565
http://dx.doi.org/10.3390/s18092792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165151/
https://www.ncbi.nlm.nih.gov/pubmed/30149565
http://dx.doi.org/10.3390/s18092792

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