Diagnostic Model Synthesis Based on Neuro-Fuzzy Network with High Generalization Prop-erties
The method of diagnostic model synthesis built around neuro-fuzzy networks with high generali-zation properties has been developed. It identifies and reduces the fuzzy terms, forms and summarizes a set of production rules, based on which in a non-iterative mode it synthesizes a neuro-fuzzy network,...
Збережено в:
| Дата: | 2012 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Russian |
| Опубліковано: |
Інститут проблем реєстрації інформації НАН України
2012
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| Теми: | |
| Онлайн доступ: | http://drsp.ipri.kiev.ua/article/view/105219 |
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| Назва журналу: | Data Recording, Storage & Processing |
Репозитарії
Data Recording, Storage & Processing| Резюме: | The method of diagnostic model synthesis built around neuro-fuzzy networks with high generali-zation properties has been developed. It identifies and reduces the fuzzy terms, forms and summarizes a set of production rules, based on which in a non-iterative mode it synthesizes a neuro-fuzzy network, which improves the properties of generalization and also simplifies the diagnostic models. Tabl.: 2. Fig.: 1. Refs: 9 titles. |
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