2025-02-22T10:46:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-158515%22&qt=morelikethis&rows=5
2025-02-22T10:46:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-158515%22&qt=morelikethis&rows=5
2025-02-22T10:46:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T10:46:08-05:00 DEBUG: Deserialized SOLR response
A prediction of the frequency of non-periodic signals based on convolutional neural networks
The problem on creation of mathematical support for construction of forecast models based on convolutional neural networks is solved in the work. A method is proposed for using convolutional neural networks to predict the frequency of non-periodic signals. To determine the frequency of the signal, i...
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| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Інститут проблем реєстрації інформації НАН України
2018
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| Subjects: | |
| Online Access: | http://drsp.ipri.kiev.ua/article/view/158515 |
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2025-02-22T10:46:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22drspiprikievua-article-158515%22&qt=morelikethis
2025-02-22T10:46:08-05:00 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-158515%22&qt=morelikethis
2025-02-22T10:46:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T10:46:08-05:00 DEBUG: Deserialized SOLR response