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Adaptive pattern-recognition using goal seeking neurons

Filho, E.C.D.B.C., Fairhurst, Michael, Bisset, D.L. (1991) Adaptive pattern-recognition using goal seeking neurons. Pattern Recognition Letters, 12 (3). pp. 131-138. ISSN 0167-8655. (doi:10.1016/0167-8655(91)90040-s) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:22931)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1016/0167-8655(91)90040-s

Abstract

This paper defines a novel Boolean neuron model which is particularly suited to practical pattern recognition tasks. It achieves its learning with a single pass of the training data and pattern classification capability emerges from the use of local low level goals.

Item Type: Article
DOI/Identification number: 10.1016/0167-8655(91)90040-s
Uncontrolled keywords: neural networks; ram-based neurons; fast learning
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: O.O. Odanye
Date Deposited: 21 Oct 2009 13:46 UTC
Last Modified: 05 Nov 2024 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/22931 (The current URI for this page, for reference purposes)

University of Kent Author Information

Fairhurst, Michael.

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