
Research

Publications

Software

Conferences

Information







Publications
Papers
Book Chapters
 A.D. Back, "Independent Component Analysis" in Applied Intelligent Systems: New Directions,
Series: Studies in Fuzziness and Soft Computing, J. Fulcher and L. Jain (Eds), SpringerVerlag,
Chapter 3, 2004.
 A.D. Back, "Radial Basis Functions" in Handbook of Neural
Network Signal Processing, Yu Hen Hu and JenqNeng Hwang (Eds), CRC Press,
Chapter 3, 2002.
 A.C. Tsoi, A.D. Back, M. Mozer and J. Principe, "Memory Kernels",
in A Field Guide to Dynamical Recurrent Networks, John F. Kolen and Stefan C. Kremer
(Eds), WileyIEEE Press, 2001.
 S. Lawrence, I. Burns, A.D. Back, A.C. Tsoi and C. Lee
Giles ``Neural Network Classification and Prior Class Probabilities, Tricks of the
Trade, Lecture Notes in Computer Science StateoftheArt Surveys, G. Orr, KR. Mueller, R. Caruana (Eds), SpringerVerlag.
pp. 299314, 1998. (Postscript file)
Journal Papers
 T. Trappenberg, J. Ouyang and A.D. Back, “Input Variable Selection: Mutual Information and Linear Mixing Measures”,
IEEE Transactions on Knowledge & Data Engineering, Vol. 18, No. 1, pp. 3746, 2006.
(PDF File)
 A.D. Back and T. Chen, “Universal Approximation of Multiple Nonlinear Operators by Neural Networks”,
Neural Computation, Vol. 14 , Issue 11, pp. 25612566, November, 2002.
(Postscript file, PDF File)
 A.D. Back and T.P Trappenberg, “Selecting Inputs For Modeling Using Normalized Higher Order Statistics and Independent Component Analysis”,
IEEE Transactions in Neural Networks, Vol. 12, No. 3, pp. 612617, 2001.
(PDF File)
 N. Iannella and A.D. Back, "A Spiking Neural Network Architecture for
Nonlinear Function Approximation", Neural
Networks, Special Issue, Vol 14, No. 6, pp. 922931, 2001.
 A.D. Back, B.G. Horne, A.C. Tsoi and C. Lee
Giles, “Alternative DiscreteTime Operators: An Algorithm for Optimal Selection
of Parameters”, IEEE Trans. on Signal Processing, Vol. 47, No.
9, pp. 26122615, Sep. 1999.
(Read online, Postscript file, PDF file)
 A.D. Back and A.S. Weigend, “A
first application of independent component analysis to extracting structure from stock
returns”, Int. Journal of Neural Systems, Vol. 8, No. 4, pp.
473484, Aug. 1997.
(Read online, Postscript file,
PDF file)
 A.D. Back and A.C. Tsoi, “A
low sensitivity recurrent neural network”, Neural Computation, Vol. 10, No.
1, pp. 165188, 1998. (Postscript
file)
 S. Lawrence, A.D. Back, A.C. Tsoi and C. Lee Giles ,
“On the distribution of performance from multiple neural network trials”, IEEE
Trans. on Neural Networks, Vol. 8, No. 6, pp. 15071517, 1998.
 S. Lawrence, C. Lee Giles, A.C. Tsoi and A.D. Back,
“Face recognition: a hybrid neural network approach”, IEEE Trans. on Neural
Networks, Vol 8, No. 1, pp. 98113, 1997.
(Postscript file)
 A.C. Tsoi and A.D. Back, “Discretetime recurrent
neural network architectures: a unifying review”, Neurocomputing, Vol.
15, No. 3&4, pp. 183223, 1997.
 A.D. Back and A.C. Tsoi, “Nonlinear system
identification using discrete Laguerre functions”, Journal of Systems Engineering,
Vol 6, No. 3, pp. 194207, 1996.
(Postscript
file)
 A.C. Tsoi and A.D. Back, “Static and dynamic
preprocessing methods in neural networks”, Engineering Applications of Artificial
Intelligence, Volume: 8, Issue: 6, pp. 633642, December, 1995.
 A.C. Tsoi and A.D. Back, “Locally recurrent globally
feedforward networks, a critical review of architectures”, IEEE Trans. Neural
Networks, Vol. 5, No. 3, pp. 229239, 1994.
 A.D. Back and A.C. Tsoi, “A simplified gradient
algorithm for IIR synapse multilayer perceptrons”, Neural Computation, Vol
5, No. 3, pp. 456462, 1993.
 A.D. Back and A.C. Tsoi, “An adaptive lattice
architecture for dynamic multilayer perceptrons”, Neural Computation, Vol 4,
No. 6, pp. 922931, 1992.
 A.D. Back and A.C. Tsoi, “FIR and IIR synapses, a new
neural network architecture for time series modelling”, Neural Computation,
Vol 3, No 3, pp. 375385, 1991.
(PDF File) Note: You
will need Adobe
Acrobat Reader 5 to view this file.
Conference Papers
 T.P. Trappenberg and A.D. Back, "A Classification Scheme for Applications with Ambiguous Data", Proc. of
IEEEINNSENNS International Joint Conference on Neural Networks, IJCNN'00,
Como, Italy, 2000.
(Abstract)
 A.D. Back and T.P. Trappenberg, “Input variable
selection using independent component analysis”, Proc. of
International Joint Conference on Neural Networks IJCNN'99, Washington, 1999.
(Postscript file, PDF file)
 N. Iannella and A.D.Back, "A spiking neural network architecture for nonlinear
function approximation", Neural
Networks for Signal Processing 9, Proc. 1999 IEEE Signal Processing Society Workshop, THOR Center for Neuroinformatics,
Madison, Wisconsin, U.S.A., IEEE, edited by Jan Larsen, YuHen Hu, Elizabeth
Wilson, Scott Doulas, New York, August 1999, pp. 139146.
 A.D. Back and A. Cichocki, “Input variable selection
using independent component analysis and higher order statistics”, Proceeding of the First International Workshop on Independent Component Analysis and Signal Separation,
ICA'99, Aussois, France, January 1115, 1999, pp. 203208.
 A.D. Back and A.S. Weigend, “Discovering structure in
finance using independent component analysis”, Proc. of Computational Finance 97,
1998.
(Postscript
file, PDF file)
 A.D. Back, “Multiple and timevarying dynamic
modelling capabilities of recurrent neural networks”, Neural Networks
for Signal Processing 7, IEEE Press, 1997.
(Postscript
file)
 A.D. Back, B.G. Horne, A.C. Tsoi and C.L. Giles, “Low
sensitivity time delay neural networks with cascade form structure”, Neural
Networks for Signal Processing 7, IEEE Press, 1997.
(Postscript
file)
 A.D. Back and A.C. Cichocki, "Blind source separation
and deconvolution of fast sampled signals", Proc of 1997 Int Conf on Neural
Information Processing,
Ed. N. Kasabov, ICONIP97,
New Zealand, Springer Nov. 1997, Vol. I, pp. 637641.
(Postscript file)
 A.C. Cichocki, B. Orsier, A.D. Back, S. Amari,
“Online adaptive algorithms in nonstationary environments using a modified
conjugate gradient approach”, Neural Networks for Signal Processing 7, IEEE
Press, 1997, pp. 316325.
 A.D. Back and T.P. Chen,
"Approximation of hybrid systems by neural networks", Proc of 1997 Int Conf
on Neural Information Processing, SpringerVerlag, pp. 326329, 1997. 1997.
(Postscript file)
 S. Lawrence, A.D. Back, A.C. Tsoi, and C.L. Giles,
“The Gamma MLP  using multiple temporal resolutions for improved
classification”, Neural Networks for Signal Processing 7, IEEE Press, 1997.
 A.D. Back and A.C. Tsoi, “A cascade neural network
model with nonlinear poles and zeros”, Proc of 1996 Int Conf on Neural
Information Processing, Vol. 1, pp. 486491, 1996.
(Postscript file)
 A.D. Back and A.C. Tsoi, “Aspects of adaptive learning
algorithms for FIR feedforward networks”, Proc of 1996 Int Conf on Neural
Information Processing, Vol. 2, pp. 13111316, 1996.
(Postscript file)
 A.D. Back and A.C. Tsoi, “A new robust recurrent
neural network structure”, ACNN96 Proc. Seventh Aust Conf on Neural
Networks, Canberra, pp. 138143, 1996.
 S. Lawrence, A.C. Tsoi and A.D. Back, “The Gamma MLP
for speech phoneme recognition”, Advances in Neural Information Processing
Systems 8, MIT Press, pp. 785791, 1996.
 S. Lawrence, A.C. Tsoi and A.D. Back, “Function
approximation with neural networks and local methods: bias, variance and
smoothness”, ACNN96 Proc. Seventh Aust Conf on Neural Networks, Canberra,
pp. 1621, 1996.

S. Tan, A.C. Tsoi, A.D. Back and AK. Chan, "A new worstcase training algorithm for RBF neural
networks", Proc. of 1996 Int Conf. on Neural Information Processing, Hong Kong, 1996, 174179.
 A.D. Back and A.C. Tsoi, “A comparison of
discretetime operator models for nonlinear system identification”, Advances in
Neural Information Processing Systems 7, MIT Press, pp. 883890, 1995.
(Postscript file)
 A.D. Back and A.C. Tsoi, “Constrained polezero
filters as discretetime operators for system approximation”, Neural Networks for
Signal Processing 5, IEEE Press, pp. 191200, 1995.
(Postscript
file)
 A.D. Back and A.C. Tsoi, “Identification of nonlinear
processes using Laguerre functions”, Proc. Int. Conf. on Engineering Applications
of Neural Networks, A.B. Bulsari and S. Kallio (Eds), 1995.
(Postscript file)
 A.D. Back and A.C. Tsoi, “Preprocessing in models for
timeseries prediction and estimation”, Machines that Learn (Neural Networks for
Computing), April 47, Snowbird, Utah, 1995.
 A.C. Tsoi and A.D. Back, “Orthogonal polynomials and
neural network models”, Invited Paper, International Symposium on
Artificial Neural Networks, Hsinchu, Taiwan, 1995.
 A.D. Back, E.A. Wan, S. Lawrence and A.C. Tsoi, “A
unifying view of some training algorithms for multilayer perceptrons with FIR filter
synapses”, Neural Networks for Signal Processing 4, IEEE Press, pp.
146154, 1994.
(Postscript file)
 A.D. Back and A.C. Tsoi, “Blind deconvolution of
signals using a complex recurrent network”, Neural Networks for Signal Processing
4, IEEE Press, pp. 565574, 1994.
(Postscript
file)
 A.D. Back and A.C. Tsoi, “Alternative discretetime
operators in neural networks for nonlinear prediction”, Proc. Second Australian
and New Zealand Conference on Intelligent Information Systems, J. Sitte et. al.
(Eds), IEEE Press, pp. 1417, 1994.
 A.D. Back and A.C. Tsoi, “On the backpropagation
algorithm: paralysis in multilayer perceptrons”, Proceedings of the Fifth
Australian Conference on Neural Networks, pp. 102104, 1994.
(Postscript
file)
 A.C.Tsoi and A.D. Back, “Static and dynamic
preprocessing methods in neural networks”, Keynote Paper in IFAC Workshop
on Emerging Intelligent Control Techniques, Hong Kong, 1994.
 A.C. Tsoi, D. Shrimpton, B. Watson and A.D. Back,
“Application of artificial neural network techniques to speaker verification”, Proc.
ESCA Workshop on Automatic Speech Recognition, 1994.
 A.D. Back and A.C. Tsoi, “Nonlinear system
identification using multilayer perceptrons with locally recurrent synaptic
structure”, Neural Networks for Signal Processing 2, IEEE Press, pp.
444453, 1992.
(Postscript file)
 A.D. Back and A.C. Tsoi, “Nonlinear adaptive control
using an IIR MLP”, ACNN92 Proc. of the Third Australian Conf on Neural Networks,
Canberra, pp. 155158, 1992.
 A.D. Back and A.C. Tsoi, “Modelling robustness of FIR
and IIR synapse multilayer perceptrons”, ACNN92 Proc. of the Third
Australian Conference on Neural Networks, Canberra, pp. 7276,
1992.
 A.D. Back and A.C. Tsoi, “Internal representation of
data in multilayer perceptrons with IIR synapses”, ISCAS92 Proc. IEEE Intern
Symposium on Circuits and Systems, San Diego, IEEE Press, New York, 1992.
 A.D. Back and A.C. Tsoi “Representational capabilities
of multilayer feedforward networks with timedelay synapses”, Proc. of
American ControlConf, pp. 30643065, Chicago, 1992.
 A.D. Back and A.C. Tsoi, “Stabilisation properties of
multilayer feedforward networks with timedelay synapses”, Artificial
Neural Networks, I. Aleksander and J. Taylor (Eds), Elsevier Science Publishers B.V.
(North Holland), Vol. 2, pp. 11131116, 1992.
 A.D. Back and A.C. Tsoi, “Analysis of hidden layer
weights in a dynamic locally recurrent network”, Artificial Neural Networks,
Elsevier Science Publishers B.V., pp. 961966, 1991.
 A.D. Back and A.C. Tsoi, “IIR neural networks for time
series modelling”, ACNN91 Proc. of the Second Australian Conference on
Neural Networks, pp. 98101, 1991.
 A.D. Back and A.C. Tsoi, “An adaptive lattice
architecture for dynamic multilayer perceptrons”, Proc Int AMSE Conf Neural
Networks, San Diego, pp. 141150, 1991.
 A.D. Back and A.C. Tsoi “A time series modelling
methodology using FIR and IIR synapses”, Proc. Workshop on Neural Networks for
Stat. and Econ. Data, F. Murtagh (Ed.), pp. 187194, 1990.
 A.D. Back and T. Downs, “Application of neural
networks to control systems”, ACNN90 Proc. First Australian Conference on Neural
Networks, 1990.
 A.D. Back and T. Downs, “Nonlinear dynamic neural
networks for temporal information processing”, Proc. of IEAust Conference
on Computing Systems and Information Technology, 1989.
Technical Reports
 A.D. Back, A.C. Tsoi, B.G. Horne and C.L. Giles,
Alternative discretetime operators and their application to nonlinear models, Technical
Report CSTR3738 and UMIACSTR9703, Institute for Advanced Computer Studies,
University of Maryland, 1997.
(Postscript file)


