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Parameters’ analysis as a tool for boosting neural networks’ learning efficiency

General traits of neural networks’ learning using error back propagation algorithm were reviewed. Different networks’ parameters and their influence on learning efficiency was analyzed. Various changes in parameters set and resulting changes in the learning process of neural networks were described....

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Veröffentlicht in:PROBLEMS IN PROGRAMMING
Datum:2026
Heft:4
Сторінки:89-95
ISSN:1727-4907
Автори та афіліації:
  • V.G. Prokhorov — Institute of Software Systems NAS of Ukraine
1. Verfasser: Prokhorov, V.G.
Format: Artikel
Sprache:Russisch
Veröffentlicht: PROBLEMS IN PROGRAMMING 2026
Schlagworte:
UDC 004.934
Online Zugang:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/984
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Назва журналу:Problems in programming
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Problems in programming
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Zusammenfassung:General traits of neural networks’ learning using error back propagation algorithm were reviewed. Different networks’ parameters and their influence on learning efficiency was analyzed. Various changes in parameters set and resulting changes in the learning process of neural networks were described.Problems in programming 2009; 4: 89-95
ISSN:1727-4907

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