Usage of Two-Center Basis Function Neural Classifiers in Compact Smart Resistive Sensors

Michał Kowalewski; Zbigniew Czaja

Usage of Two-Center Basis Function Neural Classifiers in Compact Smart Resistive Sensors

Abstract

A new solution of the smart resistance sensorwith the Two-Center Basis Function (TCBF) neuralclassifier, for which the resistance sensor is a component ofan anti-aliasing filter of an ADC is proposed. Thetemperature measurement procedure is based on excitationof the filter by square impulses, sampling time response ofthe filter and processing measured voltage values by theTCBF classifier. All steps of the measurement procedure canbe realized by the microcontroller and its internal devices.

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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: XX IMEKO World Congress Metrology for Green Growth, Busan, Republic of Korea, September 9−14, 2012 strony 1 - 4
Language:: English
Publication year:: 2012
Bibliographic description:: Kowalewski M., Czaja Z.: Usage of Two-Center Basis Function Neural Classifiers in Compact Smart Resistive Sensors// XX IMEKO World Congress Metrology for Green Growth, Busan, Republic of Korea, September 9−14, 2012/ : , 2012, s.1-4
Verified by:: Gdańsk University of Technology