Уноси

• A Fast Algorithm for Linear Convolution of Discrete Time Signals (2001)

  Z. Babić, D. Mandić, A Fast Algorithm for Linear Convolution of Discrete Time Signals, FACTA UNIVERSITATIS - SERIES: ELECTRONICS AND ENERGETICS, pp. 399 - 409, 2001

• A Nonlinear Neural Adaptive Filter with a Trainable Amplitude of Nonlinearity (2003-06)

  S. Goh, M. Božić, D. Mandić, A Nonlinear Neural Adaptive Filter with a Trainable Amplitude of Nonlinearity, Journal of Automatic Control, Vol. 13, No. 1, pp. 1 - 5, Jun, 2003

• Stability of NNGD algorithm for nonlinear system identification (2001-02)

  D.P. Mandic, I.R. Krcmar, Stability of NNGD algorithm for nonlinear system identification, ELECTRONICS LETTERS, Vol. 37, No. 3, pp. 200 - 202, Feb, 2001

• Global asymptotic stability for RNNs with a bipolar activation function (2000-09)

  I. R. Krcmar, M. M. Bozic, D. P. Mandic, Global asymptotic stability for RNNs with a bipolar activation function, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering, pp. 33 - 36, Sep, 2000

• On training with slope adaptation for feedforward NNs (2000-09)

  D.P. Mandic, I.R. Krcmar, On training with slope adaptation for feedforward NNs, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering, NEUREL 2000, pp. 42 - 45, Sep, 2000

• A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters (2001-04)

  D.P. Mandic, I.R. Krcmar, W. Sherliker, G. Smith, A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 422 - 425, Apr, 2001

• On Nonlinear Processing of Air Pollution Data (2001-04)

  R. Foxall, I. Krcmar, D.P. Mandic, G. Cawley, S. Dorling, On Nonlinear Processing of Air Pollution Data, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 477 - 480, Apr, 2001

• On Predictability of Atmospheric Pollution Time Series (2001-04)

  I.R. Krcmar, D.P. Mandic, R.J. Foxall, On Predictability of Atmospheric Pollution Time Series, Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), pp. 481 - 484, Apr, 2001

• A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification (2001-05)

  Igor R. Krcmar, D.P. Mandic, A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2001), pp. 3493 - 3496, May, 2001

• Nonlinear modelling of air pollution time series (2001-05)

  R. Foxall, I. Krcmar, G. Cawley, S. Dorling, D.P. Mandic, Nonlinear modelling of air pollution time series, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2001 (ICASSP-2001), pp. 3505 - 3508, May, 2001

• On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function (2002-05)

  Warren Sherliker, Igor R. Krcmar, Milorad M. Bozic, D.P. Mandic, On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2002), 2002., pp. I-1061 - I-1064, May, 2002

• Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms (2002-09)

  A.I. Hanna, I.R. Krcmar, D.P. Mandic, Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms, Proceedings of the 6th Seminar on Neural Network Applications in Electrical Engineering (NEUREL 2002), pp. 11 - 16, Sep, 2002