… , CHP unit, auxiliary boiler and electricity/heating storage … microgrid system, and developed
a nonlinear dynamic model for … The radial basis function artificial neural network (RBF ANN) …

… Seven parameters of NO x have been selected in this study, and an effective NO x emission
model based on the factor analysis and radial basis function was developed. The prediction …

… boiler and proposed the BP artificial neural network technology to build the model between
coal quality, boiler … results, and the “radial basis function” was selected as the kernel function. …

… A dynamic model including components such as the boiler with its thick-walled components
and the power plant's control system was developed in the Modelica/Dymola language. Start…

… a 450 MW oil-firing supercritical unit in order to enhance the existing design of control system
of the practical SCPP. The SC boiler model has been based on several nonlinear partial …

… system, which makes the heating surface layout and steam flow more complicated. Therefore,
there are strong non-linear dynamics … A radial basis function (RBF) kernel was selected as …

… , as they are very effective in modeling nonlinear plants [19] and can be … Radial basis
function networks (RBFN) in particular are widely considered for modeling nonlinear dynamics, …

… of nonlinear air gaps within the train system. In [10], the control method integrates a radial
basis … is applied to the control of the CFB boiler turbine water level to verify the effectiveness of …

… Our study replicated the radial basis function SVR model approach based on steady
state input data with predictor variables only. The parameters for the model included the box …

… and RT-NMPC using a radial basis function neural network. … to a boiler−turbine system [19]
and a three-tank system [20]. In … NN is used to model a nonlinear dynamic system due to its …