Donetsk National Technical University
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https://ea.donntu.edu.ua/jspui/handle/123456789/2926| Title: | Модели критериев сравнения нейронных и нейро-нечетких сетей в задачах диагностики и классификации образов |
| Other Titles: | Models of neural and neuro-fuzzy network comparison criterions in the tasks of diagnostics and pattern classification |
| Authors: | Субботин, С.А. |
| Keywords: | neural network comparison criterion neuro-fuzzy network diagnostics нейронная сеть pattern recognition нейро-нечеткая сеть критерий сравнения диагностика распознавание образов |
| Issue Date: | 2010 |
| Publisher: | ДВНЗ «ДонНТУ» |
| Citation: | Модели критериев сравнения нейронных и нейро-нечетких сетей в задачах диагностики и классификации образов / Субботин С.А.//Научные труды ДонНТУ. Серия «Информатика, кибернетика и вычислительная техника».– 2010.– Вып. 12(165).– С. 148-152 |
| Series/Report no.: | Інформатика, кібернетика та обчислювальна техніка;25 |
| Description: | The complex of criterions for an estimation of properties artificial neural and neuro- fuzzy networks is proposed. It includes criterions of variety, overfitting, elasticity, equifinality, sta-bility to a noise, emergency, and also set monotonicity for a neural model construction. The application of offered criterions in practice allows to automatize the process of a construction, analysis and comparison of neural models for problem solving of diagnostics and patternt classification |
| URI: | http://ea.donntu.edu.ua/handle/123456789/2926 |
| Appears in Collections: | Випуск 12(165) |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Models of neural and neuro-fuzzy network comparison criterions in the tasks of diagnostics and pattern classification.pdf | 412,04 kB | Adobe PDF | View/Open |
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