Title :
Modeling of a humidity system using ARX model and feed forward neural network - A comparative study
Author :
Venkatesh, Sivanandam ; Sundaram, S.
Author_Institution :
Dept. of Electron. & Instrum. Eng., SASTRA Univ., Thanjavur, India
Abstract :
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.
Keywords :
autoregressive processes; backpropagation; feedforward neural nets; humidity; mean square error methods; product quality; production engineering computing; MATLAB environment; autoregressive exogenous input model; backpropagation algorithm; feedforward neural network; humidity system modeling; nonlinear ARX model; product quality; root mean squared error; Application software; Heating; Indexes; Mathematical model; Predictive models; Publishing; Training; ARX model; Feed forward neural network; Humidity system; RMSE;
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
