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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

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