Neural Net Water Level Trend Prediction and Dynamic Water Level Sampling Frequency

We have used neural network water level trend prediction (NNWLTP) in support of a water level sensing project. The NNWLTP approach allows dynamic change in water level sampling frequency, which will reduce power consumption and extend battery life in energy constrained devices. This paper deals prim...

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Bibliographische Detailangaben

Hauptverfasser:	Sweeney, S.P., Sehwan Yoo, Chi, A., Lin, F., Taikyeong Jeong, Sengphil Hong, Fernald, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural network Artificial neural networks Digital filters Java Sensors Time series analysis Trend prediction Turning Water level prediction Wireless sensor networks
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