dc.contributor.author | - | |
dc.date.accessioned | 2025-10-02T05:05:26Z | |
dc.date.available | 2025-10-02T05:05:26Z | |
dc.date.issued | 2023-12-20 12:51:05+00:00 | |
dc.identifier.issn | - | |
dc.identifier.uri | 2731-667X | |
dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/35163 | |
dc.description.abstract | - | |
dc.format | - | |
dc.language.iso | EN | |
dc.publisher | Springer | |
dc.relation.uri | ['https://www.springernature.com/gp/open-research/policies/journal-policies/apc-waiver-countries', 'https://link.springer.com/journal/44244/aims-and-scope', 'https://link.springer.com/journal/44244', 'https://link.springer.com/journal/44244/submission-guidelines'] | |
dc.rights | ['CC BY', 'CC BY-NC-ND'] | |
dc.subject | ['machine learning', 'randomized learning', 'neural networks', 'stochastic configuration networks', 'industrial data modelling', 'internet industry', 'Electronic computers. Computer science', 'QA75.5-76.95', 'Industrial engineering. Management engineering', 'T55.4-60.8'] | |
dc.title | Industrial Artificial Intelligence | |
dc.type | Article | |
dc.identifier.oai | oai:doaj.org/journal:fab546cc406b4e36b95275d44aa6018e | |
dc.journal.info | - | |