Adaptive pattern-recognition using goal seeking neurons

Filho, E.C.D.B.C. and Fairhurst, Michael and Bisset, D.L. (1991) Adaptive pattern-recognition using goal seeking neurons. Pattern Recognition Letters, 12 (3). pp. 131-138. ISSN 0167-8655. (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)

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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
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: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: O.O. Odanye
Date Deposited: 21 Oct 2009 13:46
Last Modified: 19 May 2014 11:03
Resource URI: https://kar.kent.ac.uk/id/eprint/22931 (The current URI for this page, for reference purposes)
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