Classification with missing data in a wireless sensor network

We have developed a novel method to estimate missing observations in wireless sensor networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the data cluster prototypes and describe missing input patterns based on the network. We then estimate missing inputs by a spatial-t...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yuan Yuan Li, Parker, L.E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Fuzzy neural networks Fuzzy systems Intelligent networks Machine learning algorithms Neural networks Resonance Sensor systems and applications Subspace constraints Wireless sensor networks
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