Comparison of different supervised learning algorithms for position analysis of the slider-crank mechanism
Slider-crank mechanisms have a wide range of applications in machine design, primarily for converting rotary motion into reciprocating motion, as seen in internal combustion engines, pumps, compressors, and human-powered vehicles. Due to their widespread usage, analytical and graphical solutions for...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824001947 |