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Neural network synthesis by means of analytic programming-preliminary results

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Název: Neural network synthesis by means of analytic programming-preliminary results
Autor: Zelinka, Ivan; Volná, Eva
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: MENDEL 2005. 2005, vol. 2005-January, issue January, p. 21-26
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
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ISBN: 80-214-3195-4
Abstrakt: This contribution is introducing use of a novelty method, which allows solving various problems from symbolic regression domain. An idea of symbolic regression was firstly proposed by J. R. Koza in so called genetic programming and by C. Ryan in grammatical evolution. In this contribution is demonstrated use of novelty method called analytical programming on neural network synthesis.
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Citace ČSN ISO 690:2011

Citace článku v konferenčním sborníku:
ZELINKA, Ivan a Eva VOLNÁ. Neural network synthesis by means of analytic programming-preliminary results. In: MENDEL 2005 [online]. Brno: Brno University of Technology, 2005, s. 21-26. ISSN 1803-3814.

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