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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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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6165151/ https://ncbi.nlm.nih.gov/pubmed/30149565 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092792 |
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