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Foundations of Computational Intelligence
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SYSNO ASEP 0342905 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method Author(s) Jiřina, Marcel (UIVT-O) SAI, RID
Jiřina jr., M. (CZ)Source Title Foundations of Computational Intelligence, Function Approximation and Classification, 5. - Berlin : Springer, 2009 / Abraham A. ; Hassanien A.E. ; Snášel V. - ISSN 1860-949X - ISBN 978-3-642-01535-9 Pages s. 359-376 Number of pages 19 s. Number of pages 378 Language eng - English Country DE - Germany Keywords GMDH method ; genetic selection ; cloning ; classifier Subject RIV IN - Informatics, Computer Science R&D Projects 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000268010900014 EID SCOPUS 67949114390 DOI 10.1007/978-3-642-01536-6_14 Annotation The GMDH MIA is modified by use of the selection procedure from genetic algorithms while including cloning of the best neurons generated. The selection procedure finds parents for a new neuron among already existing neurons according to the fitness and also with some probability from the network inputs. The essence of cloning is slight modifying the parameters of the copies of the best neuron. The genetically modified GMDH network with cloning (GMC GMDH) can outperform other powerful methods. It is demonstrated on some tasks from the UCI MLR. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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