Abstract
Since experiment scheme is relatively expensive and time-consuming, it is essential to combine between experiment and computer modelling modes. Artificial Neural Network (ANN) has capability to model and predict the behavior that is resulted from the experimental data. This paper presented a model of modified zeolite to enhance indoor air quality. The natural zeolite was activated and evaluated by using a set of CO2 sensor that connected to microcontroller of Arduino. Additionally, to model and predict the output of CO2 sensor, an optimum of ANN model was built using two hidden layers. The high correlation coefficient (R2) was 0.5264 with Mean Square Error (MSE) = 7.8714.Consequently, the prediction of ANN model was a remarkable breakthrough as indicated by its percentage difference values that is categorized into tolerable range. Ultimately, ANN model could predict and solve the technical obstacle effectively. . Keywords: Artificial Neural Network, Zeolite, Adsorption, Arduino, CO2
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
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