Publikace UTB
Repozitář publikační činnosti UTB

Structural synthesis of neural network by means of analytic programming

Repozitář DSpace/Manakin

Název: Structural synthesis of neural network by means of analytic programming
Autor: Zelinka, Ivan; Vařacha, Pavel; Oplatková, Zuzana; Volná, Eva
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: MENDEL 2006. 2006, vol. 2006-January, issue January, p. 25-30
ISSN: 1803-3814 (Sherpa/RoMEO, JCR)
Journal Impact This chart shows the development of journal-level impact metrics in time
JCR Journal Citation Reports - Impact Factor
SNIP SCImago Source Normalized Impact per Paper
SJR SCImago Journal Rank
IPP SCImago Impact per Publication
CS Scopus CiteScore
(Note: The metrics are not comparable against one another.)
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 with various results.
Zobrazit celý záznam

Find Full text Export to RefWorks
   


Soubory tohoto záznamu

Icon
Název: Fulltext_1005252.pdf
Velikost: 1.550Mb
Formát: PDF
Popis: fulltext

Citace ČSN ISO 690:2011

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.

Tyto citace vytvořil software a mohou obsahovat chyby. Pro ověření přesnosti si nastudujte příslušnou citační normu nebo příručku.

Související články