-
Article
A new structure adaptation algorithm for RBF networks and its application
An adaptation algorithm is developed for radial basis function network (RBFN) in this paper. The RBFN is adapted on-line for both model structure and parameters with measurement data. When the RBFN is used to ...
-
Article
Adaptation of diagonal recurrent neural network model
An adaptive direct recurrent neural network model is developed for nonlinear dynamic system modelling in this paper. The model adaptation is achieved with the extended Kalman filter (EKF). A novel recursive al...
-
Article
Neural network control of multivariable processes with a fast optimisation algorithm
A radial basis function (RBF) neural network model based predictive control scheme is developed for multivariable nonlinear systems in this paper. A fast convergence algorithm is proposed and employed in multi...
-
Article
Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process