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| Published in: | Modelling in Civil and Environmental Engineering |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1864030188632801281 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Modelling in Civil and Environmental Engineering |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:17402 |
| institution | FRELIP |
| journal_source_facet | Modelling in Civil and Environmental Engineering |
| publishDate | 2024 |
| publishDateSort | 2024 |
| record_format | rss_article |
| spellingShingle | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling Mathematics Natural Sciences — Mathematical Sciences Natural Sciences |
| sub_discipline_display | Natural Sciences — Mathematical Sciences |
| sub_discipline_facet | Natural Sciences — Mathematical Sciences |
| subject_display | Mathematics Natural Sciences — Mathematical Sciences Natural Sciences Mathematics Natural Sciences — Mathematical Sciences Natural Sciences |
| subject_facet | Mathematics Natural Sciences — Mathematical Sciences Natural Sciences |
| title | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_auth | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_full | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_fullStr | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_full_unstemmed | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_short | The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling |
| title_sort | the use of recurrent neural networks (s-rnn, lstm, gru) for flood forecasting based on data extracted from classical hydraulic modeling |
| topic | Mathematics Natural Sciences — Mathematical Sciences Natural Sciences |
| url | https://sciendo.com/article/10.2478/mmce-2023-0011 |