Neural processing of multisensor signals at the 8-bit microcontroller

Neural processing of multisensor signals at the 8-bit microcontroller

An approach of multisensor signals processing at microcontrollers is described in this paper. This approach is based on the identification neural method of conversion individual function for a multisensor. It allows reducing an amount of calibration points and improving an accuracy of identification...

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Bibliographische Detailangaben
Hauptverfasser: Roshchupkin, O., Sachenko, A., Kochan, V.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Calibration
conversion function
microcontroller
Microcontrollers
multisensor
neural networks
neural processing
Sensors
Temperature measurement
Training
ultraviolet
Vectors
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Beschreibung
Zusammenfassung:An approach of multisensor signals processing at microcontrollers is described in this paper. This approach is based on the identification neural method of conversion individual function for a multisensor. It allows reducing an amount of calibration points and improving an accuracy of identification in a comparison with existing methods. Proposed approach was implemented in the developed system for measurement of the ultraviolet radiation level using 8-bit microcontrollers.
DOI:10.1109/IDAACS.2011.6072779