VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1630
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vinh Vi Quoc | en_US |
dc.date.accessioned | 2023-09-05T14:00:33Z | - |
dc.date.available | 2023-09-05T14:00:33Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1630 | - |
dc.description.abstract | According to recently developed algorithms and the powerful assistance of modern hardware technology, machine learning applications have recently seen an incredible growth in both quantity and quality to effectively help developers in modern times. Machines now have a better understanding of the feelings and behaviors that underlie big volumes of data. In fact, it is not always necessary to completely understand the underlying physical models in order to address today's challenges. This enables developers to produce more applications and apply them to industrial solutions in a number of different ways. Through the following presentations, research processes and applications of artificial intelligence systems in industry will be explored. | en_US |
dc.language.iso | en | en_US |
dc.subject | Artificial intelligence system | en_US |
dc.subject | Data analytics | en_US |
dc.title | Time series forecasting and parameters optimization | en_US |
dc.type | Thesis | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
item.languageiso639-1 | other | - |
Appears in Collections: | Electrical Engineering and Information Technology (EEIT) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
Time series forecasting and parameters optimization.pdf | 2.49 MB | Adobe PDF |
Page view(s)
24
checked on May 23, 2024
Download(s)
11
checked on May 23, 2024
Google ScholarTM
Check
Items are protected by © Copyright of Vietnamese - German University Library