Andrew D. Back

According to our database1, Andrew D. Back
  • authored at least 20 papers between 1991 and 2012.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2012
Neural Network Classification and Prior Class Probabilities.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

2006
Input Variable Selection: Mutual Information and Linear Mixing Measures.
IEEE Trans. Knowl. Data Eng., 2006

2002
Universal Approximation of Multiple Nonlinear Operators by Neural Networks.
Neural Computation, 2002

2001
Selecting inputs for modeling using normalized higher order statistics and independent component analysis.
IEEE Trans. Neural Networks, 2001

A spiking neural network architecture for nonlinear function approximation.
Neural Networks, 2001

2000
A Classification Scheme for Applications with Ambiguous Data.
IJCNN (6), 2000

1999
Alternative discrete-time operators: an algorithm for optimal selection of parameters.
IEEE Trans. Signal Processing, 1999

1998
A Low Sensitivity Recurrent Neural Network.
Neural Computation, 1998

What drives stock returns?-an independent component analysis.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997
Face recognition: a convolutional neural-network approach.
IEEE Trans. Neural Networks, 1997

On the distribution of performance from multiple neural-network trials.
IEEE Trans. Neural Networks, 1997

Discrete time recurrent neural network architectures: A unifying review.
Neurocomputing, 1997

A First Application of Independent Component Analysis to Extracting Structure from Stock Returns.
Int. J. Neural Syst., 1997

1996
Neural Network Classification and Prior Class Probabilities.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

1995
The Gamma MLP for Speech Phoneme Recognition.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Locally recurrent globally feedforward networks: a critical review of architectures.
IEEE Trans. Neural Networks, 1994

A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons.
Neural Computation, 1993

1992
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons.
Neural Computation, 1992

1991
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling.
Neural Computation, 1991


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