Artificial intelligence models for determining the strength of centrally compressed pipe-concrete columns with square cross-section
The article is devoted to the development of machine learning models for predicting the ultimate load during central compression of concrete-filled steel tubular (CFST) columns with square cross-section. Artificial intelligence is currently widely used in data processing and analysis, including data...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Peter the Great St. Petersburg Polytechnic University
2024-09-01
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| Series: | Magazine of Civil Engineering |
| Subjects: | |
| Online Access: | http://engstroy.spbstu.ru/article/2024.130.08/ |
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