Object structure
Title:

Evolutionary algorithm to derive classification rules from sets of example

Subtitle:

Raport Badawczy = Research Report ; RB/23/2001

Creator:

Stańczak, Jarosław

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2001

Description:

19 pages ; 21 cm ; Bibliography p. 18

Subject and Keywords:

Genetic algorithm ; Algorytm genetyczny ; Algorytm ewolucyjny ; Evolutionary algorithm ; Learning from examoples ; Heuristic operators ; Adaptacyjny algorytm ewolucyjny ; Adaptive evolutionary algorithm ; Operatory heurystyczne ; Uczenie się na przykładach

Abstract:

The article proposes a method to derive classification rules that correctly describe all the examples belonging to a class and do not describe all the examples not belonging to this class. The method bases on an evolutionary algorithm with dedicated to that problem specialized operators and a method of valuing their behavior. The new concept of the proposed method is that every solution obtained from the algorithm (every member of the population in the evolutionary algorithm) contains rules which describe all classes of the training data. So it is a complete solution that covers all the examples presented to the algorithm.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2001-23

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

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