Neural network for the modeling of NOx microsensor with sensing element cardo polysulfone

The sensor was made by thick film technology. A polymeric structure as sensitive layer containing cardo polysulfone has been tested in nitric oxides sensing. Feedforward neural networks with two hidden layers are used in mathematical modeling of the system, to predict the voltage of the sensor at a certain time. In this way, the efficiency of the sensor can be appreciated. An alternative methodology of modeling was based on empirical equations that explicitly render the characteristic voltage - time. Both types of models provide accurate predictions that means they describe well the actual behavior of the sensor.