Title :
Modeling of non isothermal CSTR with the method of RBF NN
Author :
Attaran, Seyed Mohammad ; Abdullah, Shahrum Shah Bin
Abstract :
In this paper we provide a short review of radial basis function (RBF) and its properties. In addition RBF NN was used to estimate the non-Isothermal CSTR. For achieving this goal because of on lining data it was necessary to use the RLS each time that new data come to system. By using this method (RLS), RBF NN updates its weights for mapping the input and output of the system.
Keywords :
chemical reactors; neurocontrollers; nonlinear control systems; radial basis function networks; RBF NN; input mapping; nonisothermal CSTR; nonlinear system; onlining data; radial basis function; Artificial neural networks; Chemical reactors; Data models; Estimation; Isothermal processes; Mathematical model; Radial basis function networks;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0003-3
DOI :
10.1109/ICMSAO.2011.5775525
