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Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
BACKGROUND: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters". Choosing reasonable parameter values for the PSO is crucial for its conve...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1464136/ https://ncbi.nlm.nih.gov/pubmed/16529661 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-125 |
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