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Structural synthesis of neural network by means of analytic programming

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Title: Structural synthesis of neural network by means of analytic programming
Author: Zelinka, Ivan; Vařacha, Pavel; Oplatková, Zuzana; Volná, Eva
Document type: Conference paper (English)
Source document: MENDEL 2006. 2006, vol. 2006-January, issue January, p. 25-30
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
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ISBN: 80-214-3195-4
Abstract: 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 with various results.
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Citace článku v konferenčním sborníku:
ZELINKA, Ivan, Pavel VAŘACHA, Zuzana OPLATKOVÁ a Eva VOLNÁ. Structural synthesis of neural network by means of analytic programming. In: MENDEL 2006 [online]. Brno: Brno University of Technology, 2006, s. 25-30. ISSN 1803-3814.

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