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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING
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| Published in: | International Journal for Quality Research |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030192983343107 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal for Quality Research |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:12633 |
| institution | FRELIP |
| journal_source_facet | International Journal for Quality Research |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING Manufacturing and Technology Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Manufacturing and Technology Technology & Engineering — Computing Technology & Engineering Manufacturing and Technology Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Manufacturing and Technology Technology & Engineering — Computing Technology & Engineering |
| title | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_auth | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_full | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_fullStr | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_full_unstemmed | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_short | SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING |
| title_sort | symbolic analysis of classical neural networks for deep learning |
| topic | Manufacturing and Technology Technology & Engineering — Computing Technology & Engineering |
| url | http://ijqr.net/journal/v19-n1/6.pdf |