2025-02-23T08:44:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-269514%22&qt=morelikethis&rows=5
2025-02-23T08:44:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-269514%22&qt=morelikethis&rows=5
2025-02-23T08:44:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T08:44:06-05:00 DEBUG: Deserialized SOLR response
Методи та моделі нейромережевої апроксимації градуювальних характеристик NTC-термісторів
The hypothesis about the expediency of using RBF-networks to improve the accuracy of constructing the calibration characteristics of NTC-thermistors in the operating temperature range without dividing it into subranges is confirmed. It has been established that the error of the neural network approx...
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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2022
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| Subjects: | |
| Online Access: | http://journal.iasa.kpi.ua/article/view/269514 |
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2025-02-23T08:44:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-269514%22&qt=morelikethis
2025-02-23T08:44:06-05:00 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%22journaliasakpiua-article-269514%22&qt=morelikethis
2025-02-23T08:44:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T08:44:06-05:00 DEBUG: Deserialized SOLR response