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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| Datum: | 2026 |
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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | Russisch |
| Veröffentlicht: |
PROBLEMS IN PROGRAMMING
2026
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| Schlagworte: | |
| 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| 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 |
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