PCN: the probabilistic convergent network

A new architecture for networks constructed from RAM-based neurons is presented which, whilst retaining learning and generalisation properties possessed by existing RAM-based network architectures, allows for a regular treatment of specialisation and generalisation with the additional property of pr...

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Bibliographic Details
Published inProceedings of ICNN'95 - International Conference on Neural Networks Vol. 3; pp. 1211 - 1214 vol.3
Main Authors Howells, G., Fairhurst, M.C., Bisset, D.L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1995
Subjects
Boolean functions
Laboratories
Logic
Neural networks
Neurons
Pattern recognition
Personal communication networks
Visualization
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Summary:A new architecture for networks constructed from RAM-based neurons is presented which, whilst retaining learning and generalisation properties possessed by existing RAM-based network architectures, allows for a regular treatment of specialisation and generalisation with the additional property of providing information regarding the relative probability of a given sample pattern being a member of each possible pattern class. The network architecture provides the basis for the development of a pattern recognition system capable of application in a practical environment.
ISBN:9780780327689
0780327683
DOI:10.1109/ICNN.1995.487326