Alberto Arteta Albert

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— Wireless Sensor Networks (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, and to cooperatively pass their data through the network. Network Management of such a sensor network is a very big challenge. Also the fast changing(More)
This paper presents some connectionist models that are widely used to solve NP-problems. Most well known numeric models are Neu-ral Networks that are able to approximate any function or classify any pattern set provided numeric information is injected into the net. Neural Nets usually have a supervised or unsupervised learning stage in order to perform(More)
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