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Geomechanics and Engineering Volume 33, Number 2, April25 2023 , pages 183-194 DOI: https://doi.org/10.12989/gae.2023.33.2.183 |
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Prediction of California bearing ratio (CBR) for coarse- and fine-grained soils using the GMDH-model |
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Mintae Kim, Seyma Ordu, Ozkan Arslan and Junyoung Ko
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| Abstract | ||
| This study presents the prediction of the California bearing ratio (CBR) of coarse- and fine-grained soils using artificial intelligence technology. The group method of data handling (GMDH) algorithm, an artificial neural network-based model, was used in the prediction of the CBR values. In the design of the prediction models, various combinations of independent input variables for both coarse- and fine-grained soils have been used. The results obtained from the designed GMDH-type neural networks (GMDH-type NN) were compared with other regression models, such as linear, support vector, and multilayer perception regression methods. The performance of models was evaluated with a regression coefficient (R2), root-mean-square error (RMSE), and mean absolute error (MAE). The results showed that GMDH-type NN algorithm had higher performance than other regression methods in the prediction of CBR value for coarse- and fine-grained soils. The GMDH model had an R2 of 0.938, RMSE of 1.87, and MAE of 1.48 for the input variables {G, S, and MDD} in coarse-grained soils. For fine-grained soils, it had an R2 of 0.829, RMSE of 3.02, and MAE of 2.40, when using the input variables {LL, PI, MDD, and OMC}. The performance evaluations revealed that the GMDH-type NN models were effective in predicting CBR values of both coarse- and fine-grained soils. | ||
| Key Words | ||
| artificial intelligence technology; California bearing ratio (CBR); group method of data handling (GMDH) | ||
| Address | ||
| Mintae Kim: School of Civil, Environmental, and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea Seyma Ordu: Department of Environmental Engineering, Tekirdag Namik Kemal University, Namik Kemal Mahallesi Kampüs Caddesi No:1, Tekirdağ 59030, Turkey Ozkan Arslan:Department of Electronics and Communication Engineering, Tekirdag Namik Kemal University, Namik Kemal Mahallesi Kampüs Caddesi No:1, Tekirdag 59030, Turkey Junyoung Ko: Department of Civil Engineering, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea | ||