Peter J. Edwards

According to our database, Peter J. Edwards authored at least 17 papers between 1992 and 2002.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2002

Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking.

Peter J. Edwards, Andrew M. Peacock, David S. Renshaw, John M. Hannah, Alan F. Murray

IEEE Trans. Neural Networks, 2002

2001

Confidence estimation methods for neural networks: a practical comparison.

Georgios Papadopoulos, Peter J. Edwards, Alan F. Murray

IEEE Trans. Neural Networks, 2001

2000

A Study of Early Stopping and Model Selection Applied to the Papermaking Industry.

Peter J. Edwards, Alan F. Murray

Int. J. Neural Syst., 2000

Committee formation for reliable and accurate neural prediction in industry.

Peter J. Edwards, Alan F. Murray

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999

The application of neural networks to the papermaking industry.

Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard, Gordon Smith

IEEE Trans. Neural Networks, 1999

The application of neural networks to the paper-making industry.

Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Towards Optimally Distributed Computation.

Peter J. Edwards, Alan F. Murray

Neural Comput., 1998

Weight saliency regularization in augmented networks.

Peter J. Edwards, Alan F. Murray

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

Penalty terms for fault tolerance.

Peter J. Edwards, Alan F. Murray

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

1996

Modelling weight- and input-noise in MLP learning.

Peter J. Edwards, Alan F. Murray

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995

Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance?

Peter J. Edwards, Alan F. Murray

Int. J. Neural Syst., 1995

1994

Analogue imprecision in MLPs implications and learning improvements.

Peter J. Edwards

PhD thesis, 1994

Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training.

Alan F. Murray, Peter J. Edwards

IEEE Trans. Neural Networks, 1994

1993

Synaptic weight noise during multilayer perceptron training: fault tolerance and training improvements.

Alan F. Murray, Peter J. Edwards

IEEE Trans. Neural Networks, 1993

Pulse Stream Vlsi Circuits And Systems: The Epsilon Neural Network Chipset.

Alister Hamilton, Stephen Churcher, Peter J. Edwards, Geoffrey Bruce Jackson, Alan F. Murray, H. Martin Reekie

Int. J. Neural Syst., 1993

Analogue Synaptic Noise - Implications And Learning Improvements.

Peter J. Edwards, Alan F. Murray

Int. J. Neural Syst., 1993

1992

Synaptic Weight Noise During MLP Learning Enhances Fault-Tolerance, Generalization and Learning Trajectory.

Alan F. Murray, Peter J. Edwards

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992