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Self-organizing map / Competitive learning / Wireless sensor network / Sensor / Statistics / Hybrid Kohonen SOM / Learning Vector Quantization / Neural networks / Machine learning / Technology


in Artificial Life VIII, Standish, Abbass, Bedau (eds)(MIT Press[removed]pp 260–[removed]Self-Organization in Ad Hoc Sensor Networks: An Empirical Study Elaine Catterall, Kristof Van Laerhoven and Martin Strohbach
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Document Date: 2013-01-14 08:19:19


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Ayache / Systems / Seattle / Dresden / Boston / /

Company

Robotic Systems / asThe / Ad Hoc Sensor Networks / IEEE Press / MIT Press / University IEEE Press / Acknowledgements Press / /

Country

Italy / /

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Event

Product Issues / /

Facility

Prentice Hall / Franklin Institute / Artificial Intelligence Institute / Dresden University of Technology / /

IndustryTerm

e.g. networks / distributed sensor network / realtime systems / neural network / short-range wireless communication capabilities / ubiquitous computing / wireless communication module / biological systems / winner−takes−all algorithm / anwill algorithm / ahttp /

Organization

North Atlantic Treaty Organization / Lancaster University / Franklin Institute / MIT / European Commission / NATO Advanced Commission / Self−organization / Dresden University of Technology / Artificial Intelligence Institute / /

Person

Elaine Catterall / Martin Strohbach / Van Laerhoven / /

Product

sensors / /

ProvinceOrState

Nova Scotia / Washington / /

Technology

learning algorithm / neural network / make the2 winner−takes−all algorithm / artificial intelligence / anwill algorithm / Mobile Computing / winner−takes−all algorithm / simulation / /

URL

http /

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