Application of Neurocomputing for Data Approximation and Classification in Wireless Sensor Networks

A new application of neurocomputing for data approximation and classification is introduced to process data in a wireless sensor network. For this purpose, a simplified dynamic sliding backpropagation algorithm is implemented on a wireless sensor network for transportation applications. It is able t...

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Detalles Bibliográficos
Autores principales: Jabbari, Amir, Jedermann, Reiner, Muthuraman, Ramanan, Lang, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346309/
https://www.ncbi.nlm.nih.gov/pubmed/22574062
http://dx.doi.org/10.3390/s90403056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346309/
https://www.ncbi.nlm.nih.gov/pubmed/22574062
http://dx.doi.org/10.3390/s90403056

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