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Modeling of a humidity system using ARX model and feed forward neural network - A comparative study

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2 Author(s)
Sivanandam Venkatesh ; Department of Electronics and Instrumentation Engineering, School of Electrical and Electronics Engineering, SASTRA University, Tirumalaisamudram, Thanjavur, India - 613 401 ; S. Sundaram

An experimental study was conducted on a laboratory scale humidity system to obtain the empirical model (process). A pseudo random sequence was introduced for the obtained model to get the input and output data. Different models such as autoregressive exogenous input model (ARX), non linear ARX and a feed forward neural network (FNB) model using back propagation algorithm were tried in MATLAB environment with the help of input and output data. The models obtained were analyzed for root mean squared error (RMSE) and FNB model resulted the best fit with minimum RMSE.

Published in:

Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on

Date of Conference:

30-31 March 2012