Automatic self-configuration of a novel multiple-expert classifier using a genetic algorithm

Rahman, Ahmad Fuad Rezaur and Fairhurst, Michael (1999) Automatic self-configuration of a novel multiple-expert classifier using a genetic algorithm. In: 7th IEE Conference on Image Processing and its Applications (IPA99), Jul 12-15, 1999, Manchester, England. (The full text of this publication is not available from this repository)

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Abstract

A novel self-configurable multiple expert classifier is introduced. A genetic algorithm has been employed to automate the process of optimisation in terms of structural configuration. Application of this concept of self-configuration has produced very promising results in recognising a database of machine printed characters by the proposed multiple expert configuration.

Item Type: Conference or workshop item (Paper)
Additional information: Issue: 465; Proceedings Paper
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications > TK5103.59 Optical communications, Fibre-optics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > Q Science (General) > Q335 Artificial intelligence
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: F.D. Zabet
Date Deposited: 17 Apr 2009 18:52
Last Modified: 19 May 2014 11:37
Resource URI: http://kar.kent.ac.uk/id/eprint/16510 (The current URI for this page, for reference purposes)
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