Please use this identifier to cite or link to this item:
https://sci.ldubgd.edu.ua/jspui/handle/123456789/13836Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Тригуба А., Тригуба І., Маланчук О., Мармуляк А. | - |
| dc.date.accessioned | 2024-08-03T18:07:30Z | - |
| dc.date.available | 2024-08-03T18:07:30Z | - |
| dc.date.issued | 2024-05-30 | - |
| dc.identifier.uri | https://sci.ldubgd.edu.ua/jspui/handle/123456789/13836 | - |
| dc.description | The peculiarity of the proposed methodology is that the database is formed on the basis of the collected data on the results of competitions for local initiative projects in the region. | en_US |
| dc.description.abstract | The purpose of the study is to substantiate a model for predicting the competitive score of social projects for community development with the optimization of the architecture of a deep neural network trained on the prepared data from the implementation of previous projects. | en_US |
| dc.description.sponsorship | Computer Science at De Montfort University,Kherson National Technical University (KNTU),Leiden Institute of Advanced Computer Science Leiden University,Lesya Ukrainka Eastern European National University,Lviv Polytechnic National University,University Institute of Lisbon | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | CEUR-WS | en_US |
| dc.relation.ispartofseries | 3711;55-74 | - |
| dc.subject | competition scoredeep neural network forecasting model social projects Indexed keywords Engineering controlled terms: Decision support systems Deep neural networks Economic and social effects Long short-term memory Network architecture Engineering uncontrolled terms Accuracy rate Community development Competition score Development programmes Neural network architecture Neural network model Optimisations Regularisation Social communities Social projects | en_US |
| dc.title | A deep neural network model for predicting the competitive score of social projects for community development(Conference Paper) | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | 2024 | |
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