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    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 ...

    D. L. Yu, D. W. Yu in Neural Computing and Applications (2007)

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    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...

    D. L. Yu, T. K. Chang in Neural Computing & Applications (2005)

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    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...

    D. W. Yu, D. L. Yu in Neural Computing & Applications (2003)

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    Article

    Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process

    D. L. Yu, J. B. Gomm in Neural Computing & Applications (2002)