Jun 1, 2019 · This study investigates the feasibility of principal component analysis as dimensionality reduction technique to select the input variables in terms of ...

The finding of this research concludes that PCA-based MARS model can be used as new and reliable data-driven approach for estimation of soil parameters.

Mar 28, 2024 · In this study, three kinds of soft computing methods, namely artificial neural networks (ANNs), model tree (MT) and multivariate adaptive ...

This study investigates the feasibility of principal component analysis as dimensionality reduction technique to select the input variables in terms of ...

In this paper, various advanced soft computing approaches namely Biogeography-Based Optimization based Artificial Neural Networks (ANN-BBO), Artificial Neural ...

Jul 26, 2024 · ... (Advanced Soft Computing Techniques for Predicting Soil Compression Coefficient In Engineering Project: a Comparative Study). ... soil ...

Aug 12, 2019 · The finding of this research concludes that PCA-based MARS model can be used as new and reliable data-driven approach for estimation of soil ...

Nov 19, 2021 · Therefore, in this study, we have applied three popular cost-effective soft computing-based models such as ANN, SVM, and RF to predict “K” of ...

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.

Jun 5, 2024 · Statistical error indicators such as RMSE and MAE and correlation coefficient (R) were used to evaluate and compare performance of the models.