Порівняльний аналіз ефективності нечітких нейронних мереж у задачах прогнозування в економіці та фінансовій сфері
Fuzzy neural networks (FNN) with the algorithm of Mamdani, Tsukamoto and Sugeno are considered in the problem of macroeconomic and financial indexes forecasting. The comparative experimental investigations of the FNN with different algorithms are described and the most efficient algorithm for such p...
Saved in:
| Date: | 2019 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | Russian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
|
| Online Access: | http://journal.iasa.kpi.ua/article/view/165433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | System research and information technologies |