ANN Modeling of a Chemical Humidity Sensing Mechanism

• Main Authors: Souhil KOUDA, Zohir DIBI, Fayçal Meddour, Abdelghani DENDOUGA, Samir BARRA
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2010-10-01
• Series: Sensors & Transducers
• Subjects: Resistive humidity sensor; Sensing mechanism; Neuronal network; MLP; TiO2 PMAPTAC
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/october_2010/P_690.pdf

This work aims to achieve a modeling of a resistive-type humidity sensing mechanism (RHSM). This model takes into account the parameters of non-linearity, hysteresis, temperature, frequency, substrate type. Furthermore, we investigated the TiO2 and PMAPTAC concentrations effects on the humidity sensing properties in our model. Using neuronal networks and Matlab environment, we have done the training to realize an analytical model ANN and create a component, accurately express the above parameters variations, for our sensing mechanism model in the PSPICE simulator library. Simulation has been used to evaluate the effect of variations of non-linearity, hysteresis, temperature, frequency, substrate type and TiO2 and PMAPTAC concentrations effects, where the output of this model is identical to the output of the chemical humidity sensing mechanism used.