A. Zaknich

发表

Continuous-Time Adaptive Critics

Lyle Noakes, Thomas Hanselmann, Anthony Zaknich, 2007, IEEE Transactions on Neural Networks.

Connection between BPTT and RTRL

T. Hanselmann, A. Zaknich, Y. Attikiouzel, 1999 .

An adaptive sub-space filter model

A. Zaknich, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

An integrated sensory-intelligent system for underwater acoustic signal-processing applications

A. Zaknich, A. Zaknich, 2003 .

A modified probabilistic neural network (PNN) for nonlinear time series analysis

C.J.S. deSilva, A. Zaknich, Y. Attikiouzel, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

An Audio Equalisation Linear Phase FIR Filter Design Method using RBF based Smoothing and Interpolation

A. Zaknich, G.E. Lee, G. E. Lee, 2006, 2006 Fourth International Conference on Intelligent Sensing and Information Processing.

An Auditory Motivated Asymmetric Compression Technique for Speech Recognition

Roberto Togneri, Serajul Haque, Anthony Zaknich, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

ZERO CROSSINGS WITH PEAK AMPLITUDES AND PERCEPTUAL FEATURES FOR ROBUST SPEECH RECOGNITION

A. Zaknich, R. Togneri, S. Haque, 2005 .

A mixed-integer programming approach to GRNN parameter estimation

Anthony Zaknich, Gareth E. Lee, A. Zaknich, 2015, Inf. Sci..

AnAudioEqualisation Linear PhaseFIRFilter Design Method usingRBFbasedSmoothing andInterpolation

A. Zaknich, G. E. Lee, 2006 .

Arbitrary audio FIR filter design by bode plot smoothing using tuneable approximate piecewise linear regression

Anthony Zaknich, Gareth Lee, A. Zaknich, 2006 .

A practical sub-space adaptive filter

Anthony Zaknich, A. Zaknich, 2003, Neural Networks.

A tunable approximately piecewise linear model derived from the modified probabilistic neural network

A. Zaknich, Y. Attikiouzel, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Separation of signals with overlapping spectra using signal characterisation and hyperspace filtering

Yianni Attikiouzel, Anthony Zaknich, T. Jan, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

A design for FPGA implementation of the probabilistic neural network

A. Zaknich, G. Minchin, A. Zaknich, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Machine grading and blemish detection in apples

Yianni Attikiouzel, Anthony Zaknich, G. Rennick, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Efficient kernel functions for the general regression and modified probabilistic neural networks

Anthony Zaknich, A. Zaknich, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

An adjustable model for linear to nonlinear regression

Tony Jan, Anthony Zaknich, A. Zaknich, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Introduction to the modified probabilistic neural network for general signal processing applications

Anthony Zaknich, A. Zaknich, 1998, IEEE Trans. Signal Process..

An efficient modified probabilistic neural network hardware implementation for zero crossing thresholded binary signals

A. Zaknich, A. Zaknich, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Adaptive learning schemes for the modified probabilistic neural network

A. Zaknich, C.J.S. de Silva, A. Zaknich, 1997, Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing.

Neural network edge detectors for separation of particles in 2-D grey-scale images

S.U.S. Sia, A. Zaknich, A. Zaknich, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

A modified probabilistic neural network signal processor for nonlinear signals

Anthony Zaknich, Yianni Attikiouzel, A. Zaknich, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

Characterization of aluminum hydroxide particles from the Bayer process using neural network and Bayesian classifiers

Anthony Zaknich, A. Zaknich, 1997, IEEE Trans. Neural Networks.

A vector quantisation reduction method for the probabilistic neural network

A. Zaknich, A. Zaknich, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks

A. Zaknich, P. N. Pathirana, A. Zaknich, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Modified probabilistic neural network hardware implementation schemes

Yianni Attikiouzel, Anthony Zaknich, A. Zaknich, 1996, Proceedings of Digital Processing Applications (TENCON '96).

Detection of sodium oxalate needles in optical images using neural network classifiers

Yianni Attikiouzel, Anthony Zaknich, A. Zaknich, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

The modified probabilistic neural network as a nonlinear correlator detector

Anthony Zaknich, Yianni Attikiouzel, A. Zaknich, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Zero-Crossings with Adaptation for Automatic Speech Recognition

Roberto Togneri, Anthony Zaknich, Serajul Haque, 2006 .

Analysis of impulsive biological noise due to snapping shrimp as a point process in time

A.J. Duncan, A. Zaknich, M.W. Legg, 2007, OCEANS 2007 - Europe.

A fast adaptive neural network system for intelligent control

Yianni Attikiouzel, Anthony Zaknich, A. Zaknich, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS)

Thomas Bräunl, Anthony Zaknich, ChangSu Lee, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

A multi-category decision support framework for the Tennessee Eastman problem

A. Zaknich, G. E. Lee, P. A. Bahri, 2007, 2007 European Control Conference (ECC).

A survey and taxonomy of performance improvement of canonical genetic programming

Thomas Bräunl, Anthony Zaknich, Peyman Kouchakpour, 2009, Knowledge and Information Systems.

A Rough-Fuzzy Controller for Autonomous Mobile Robot Navigation

Chang Su Lee, A. Zaknich, T. Braunl, 2006, 2006 3rd International IEEE Conference Intelligent Systems.

Telemetry to monitor sounds of chews during eating and rumination by grazing sheep

L. Klein, Sk Baker, Db Purser, 1994 .

Principles of Adaptive Filters and Self-learning Systems (Advanced Textbooks in Control and Signal Processing)

Anthony Zaknich, A. Zaknich, 2005 .

Population variation in genetic programming

Thomas Bräunl, Anthony Zaknich, Peyman Kouchakpour, 2007, Inf. Sci..

Dynamic population variation in genetic programming

Thomas Bräunl, Anthony Zaknich, Peyman Kouchakpour, 2009, Inf. Sci..

Extensions to the theory of time delay spectrometry

A. Zaknich, G. Cook, A. Zaknich, 1996, Proceedings of Digital Processing Applications (TENCON '96).

Extensions to the T

Anthony Zaknich, Gareth Cook, A. Zaknich, 1996 .

Neural Networks for Intelligent Signal Processing

Anthony Zaknich, A. Zaknich, 2003, Series on Innovative Intelligence.