2025-02-23T12:44:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-165656%22&qt=morelikethis&rows=5
2025-02-23T12:44:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-165656%22&qt=morelikethis&rows=5
2025-02-23T12:44:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T12:44:35-05:00 DEBUG: Deserialized SOLR response
Використання алгоритму просторового навчання штучних нейронних мереж для розпізнавання типу взаємодії нейронів по їх кроскореляційній гістограмі
An algorithm based on two types artificial neural networks (ANNs) is proposed. The first network is an associative ANN while the second network is a Self-Organizing Map of Kohonen. The results for a test set are similar to the performance of our previous expert system algorithm developed with Group...
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| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| 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/165656 |
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