Hybrid ELM and MARS-Based Prediction Model for Bearing Capacity of Shallow Foundation

نویسندگان

چکیده

The nature of soil varies horizontally as well vertically, owing to the process formation soil. Thus, ensuring safe design geotechnical structures has been a major challenge. In shallow foundations, conducting field tests is expensive and time-consuming often conducted on significantly scaled-down models. Empirical models, too, have found be least reliable in literature. study proposes AI-based techniques predict bearing capacity foundation, simulated using datasets obtained experiments different laboratories results ELM-EO ELM-PSO hybrid models are compared with that ELM MARS performance analyzed each other various parameters. graded rank analysis visual interpretations provided error matrices REC curves. concluded best performing model (R2 RMSE equal 0.995 0.01, respectively, testing phase), closely followed by ELM-PSO, MARS, ELM. better than equals 0.97 0.5, phase); however, hybridization greatly enhances perform MARS. paper concludes robust regression optimization should encouraged further research. Sensitivity suggests all input parameters significant influence output, friction angle being highest.

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ژورنال

عنوان ژورنال: Processes

سال: 2022

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr10051013