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7 Result(s)

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    Chapter and Conference Paper

    An On-Line LearningAlgorithm of Parallel Mode for MLPN Models

    An on-line learning algorithm in parallel mode for multi-layer perceptron network (MLPN) model is proposed. The MLPN is on-line trained directly in a parallel mode. The on-line learning algorithm is based on t...

    D. L. Yu, T. K. Chang, D. W. Yu in Advances in Neural Networks – ISNN 2007 (2007)

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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

    A Localized Forgetting Method for Gaussian RBFN Model Adaptation

    In this paper a localized forgetting method is proposed for on-line adaptation of Gaussian radial basis function network models. It is realised that the commonly used exponential forgetting applies to the past...

    D. L. Yu in Neural Processing Letters (2004)

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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)

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    Article

    A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks

    A recursive orthogonal least squares (ROLS) algorithm for multi-input, multi-output systems is developed in this paper and is applied to updating the weighting matrix of a radial basis function network. An ill...

    D.L. Yu, J.B. Gomm, D. Williams in Neural Processing Letters (1997)