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

fYear

2012

fDate

30-31 March 2012

Firstpage

518

Lastpage

522

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;

fLanguage

English

Publisher

ieee

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

Type

conf

Filename

6216057