Target Localization in Wireless Sensor Networks Using Online Semi-Supervised Support Vector Regression

Machine learning has been successfully used for target localization in wireless sensor networks (WSNs) due to its accurate and robust estimation against highly nonlinear and noisy sensor measurement. For efficient and adaptive learning, this paper introduces online semi-supervised support vector reg...

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Detalles Bibliográficos
Autores principales: Yoo, Jaehyun, Kim, H. Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507659/
https://www.ncbi.nlm.nih.gov/pubmed/26024420
http://dx.doi.org/10.3390/s150612539

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507659/
https://www.ncbi.nlm.nih.gov/pubmed/26024420
http://dx.doi.org/10.3390/s150612539

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