R. F. Harrison

发表

Autonomously Learning Neural Networks for Clinical Decision Support.

Chee Peng Lim, R. F. Harrison, R. L. Kennedy, 1994 .

Fusion ARTMAP: Clarification, Implementation and Developments

R. F. Harrison, J. M. Borges, 1995 .

On-line learning and probability estimation with a self-organising neural network

R. F. Harrison, C. P. Lim, 1996 .

Bayesian framework for aerospace gas turbine engine prognostics

M. A. Zaidan, R. F. Harrison, A. R. Mills, 2013, 2013 IEEE Aerospace Conference.

A Self-Organising State Space Decoder for Reinforcement Learning

R. F. Harrison, S. Marriott, 1995 .

A Multiple Neural Network Architecture for Sequential Evidence Aggregation and Incomplete Data Classification

R. F. Harrison, Peng Lim Chee, 1996 .

The Reduction of No Fault Found Incidents Using Posterior Knowledge Integration

R. F. Harrison, S. Marriott, 1999 .

Neural Networks, Heart Attack and Bayesian Decisions: An Application of the Boltzmann Perceptron Network

R. F. Harrison, S. J. Marshall, R. Lee. Kennedy, 1994 .

A General Method for the Discovery and Use of Rules Induced by Feedforward Artificial Neural Networks

R. F. Harrison, Ma. Zhe, R. Lee. Kennedy, 1995 .

Explanation by General Rules Extracted From trained Multi-Layer Perceptrons

R. F. Harrison, Ma. Zhe, S. Cross, 1996 .

Predicting increasing glycaemic burden (GB) using logistic regression models derived from routinely collected clinical data

R. L. Kennedy, R. F. Harrison, J. A. Clayton, 2005 .

Recognition of ultra high frequency partial discharge signals using multi-scale features

Jian Li, S. Grzybowski, Tianyan Jiang, 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

A State Space Approach to the Analysis of Nonstationary, Nonlinear Random Vibration with Particular Application to the Problem of Vehicles on Rough Ground,

R. F. Harrison, J. K. Hammond, 1984 .

Fuzzy Boxes; A Distributed Adaptive Neurocontroller Using Reinforcement Learning

R. F. Harrison, S. Marriott, 1997 .

Support vector regression and NARMAX system identification

R. F. Harrison, P. Drezet, 1999, 1999 European Control Conference (ECC).

On the connectionist implementation of the Hough transform

S. P. Banks, R. F. Harrison, M. N. Howell, 1992 .

An "Artificial Expert"-Knowledge Acquisition via Neural Networks

R. F. Harrison, Ma. Zhe, 1995 .

A Heuristic for General Rule Extraction From a Multilayer Perceprtron

Zhe, R. F. Harrison, 1994 .

Wigner-Ville and evolutionary spectra for covariance equivalent nonstationary random processes

R. F. Harrison, J. K. Hammond, 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Dynamic Query Algorithms for Human-Computer Interaction Based on Information Gain and the Multi-Layer Perceptron

R. F. Harrison, Ma. Zhe, R. Lee. Kennedy, 1996 .

The Use of Fuzzy ARTMAP and Modified Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients

R. F. Harrison, Joseph Downs, R. Lee Kennedy, 1995 .

The Growing Hierarchical Self-Organizing Map ( GHSOM ) for analysing multi-dimensional stream habitat datasets

R. F. Harrison, D. N. Lerner, S. Bizzi, 2009 .

Directly Optimised Support Vector Machines for Classification and Regression

R. F. Harrison, P. Drezet, 1998 .

Availability ratio for performance of pipeline components in two-phase flow

R. F. Harrison, R. B. Dean, 1978 .

Application of artificial neural networks to CNV data to investigate schizophrenia

B. W. Jervis, R. F. Harrison, S. Oke, 1997, Psychiatry Research: Neuroimaging.

Covariance equivalent forms and evolutionary spectra for nonstationary random processes

R. F. Harrison, J. K. Hammond, 1984 .