Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach
Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. Backpropagation neural networks, one of the supervised learning algorithms, is commonly used to train data networks by optimizing the...
| الحاوية / القاعدة: | Engineering Applications of Computational Fluid Mechanics |
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| المؤلفون الرئيسيون: | , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Taylor & Francis Group
2024-12-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.tandfonline.com/doi/10.1080/19942060.2024.2411786 |