2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-179699%22&qt=morelikethis&rows=5
2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-179699%22&qt=morelikethis&rows=5
2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T09:57:36-05:00 DEBUG: Deserialized SOLR response
Neural network modeling of critical tempe-ratures for steel pitting.
The task of creating mathematical software for constructing quantitative dependency models based on forward propagation neural networks has been solved in the work. A modification of method for dropping out neurons is proposed, which better prevents the model from overfitting. The modified method ta...
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| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2019
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| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/179699 |
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2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-179699%22&qt=morelikethis
2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-179699%22&qt=morelikethis
2025-02-22T09:57:36-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T09:57:36-05:00 DEBUG: Deserialized SOLR response