2025-02-23T00:56:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171355%22&qt=morelikethis&rows=5
2025-02-23T00:56:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-171355%22&qt=morelikethis&rows=5
2025-02-23T00:56:07-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:56:07-05:00 DEBUG: Deserialized SOLR response
Дослідження ефективності нечіткої нейронної мережі ANFIS у задачах макроекономічного прогнозування
The fuzzy neural network ANFIS with logical inference of Sugeno is considered. The training algorithm is described and its experimental investigations in the problem of macroeconomic indexes forecasting on the example of Ukrainian economy are presented.
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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | rus |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Online Access: | http://journal.iasa.kpi.ua/article/view/171355 |
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