Martin Brown

According to our database, Martin Brown authored at least 15 papers between 1993 and 2004.

Collaborative distances:

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

2004

Backward Elimination Methods for Associative Memory Network Pruning.

Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen

Int. J. Hybrid Intell. Syst., 2004

2002

A Probabilistic Framework for SVM Regression and Error Bar Estimation.

Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown

Mach. Learn., 2002

2000

Linear spectral mixture models and support vector machines for remote sensing.

Martin Brown, Hugh G. Lewis, Steve R. Gunn

IEEE Trans. Geosci. Remote. Sens., 2000

1999

Neurofuzzy identification of an autonomous underwater vehicle.

Kev M. Bossley, Martin Brown, Christopher J. Harris

Int. J. Syst. Sci., 1999

Principal components in time-series modelling.

Derek W. Long, Martin Brown, Christopher J. Harris

Proceedings of the 5th European Control Conference, 1999

1997

On the convergence rate performance of the normalized least-mean-square adaptation.

Pak Cheung Edgar An, Martin Brown, Chris J. Harris

IEEE Trans. Neural Networks, 1997

Network Performance Assessment for Neurofuzzy Data Modelling.

Steve R. Gunn, Martin Brown, Kev M. Bossley

Proceedings of the Advances in Intelligent Data Analysis, 1997

1996

One-to-one mapping and its application to neural networks based control systems design.

Hong Wang, A. P. Wang, Martin Brown, Christopher J. Harris

Int. J. Syst. Sci., 1996

The representation of fuzzy algorithms used in adaptive modelling and control schemes.

Martin Brown, D. J. Mills, Christopher J. Harris

Fuzzy Sets Syst., 1996

1995

Comments on "Learning convergence in the cerebellar model articulation controller".

Martin Brown, Chris J. Harris

IEEE Trans. Neural Networks, 1995

A global gradient-noise covariance expression for stationary real Gaussian inputs.

Pak Cheung Edgar An, Martin Brown, Chris J. Harris

IEEE Trans. Neural Networks, 1995

A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications.

Martin Brown, Christopher J. Harris

Int. J. Neural Syst., 1995

1994

Training Neurofuzzy Systems.

D. J. Mills, Martin Brown, Christopher J. Harris

Proceedings of the Postprint Volume from the IFAC Symposium on Artificial Intelligence in Real-Time Control, 1994

1993

Intelligent Control - Aspects of Fuzzy Logic and Neural Nets

Christopher J. Harris, Chris G. Moore, Martin Brown

World Scientific Series in Robotics and Intelligent Systems 6, World Scientific, ISBN: 978-981-4505-34-5, 1993

The interpolation capabilities of the binary CMAC.

Martin Brown, Chris J. Harris, Patrick C. Parks

Neural Networks, 1993