Gradient boosting

This study advances forest fire susceptibility mapping in Gia Lai province by leveraging optimized machine learning models.

13p vijiraiya 19-05-2025 1 1   Download

Mục đích của nghiên cứu này là phát triển và đánh giá sáu mô hình học máy, gồm có: Cây quyết định (Decision Tree – DT), Rừng cây ngẫu nhiên (Random Forest - RT), Tăng cường thích ứng (Adaptive Boosting – Ada), Tăng cường độ dốc (Gradient Boosting - GB), Cây bổ sung (Extra Trees - ET) và Máy Vector hỗ trợ (Support Vector Machine – SVM).

12p bachlapkim01 09-05-2025 1 1   Download

This paper aims to enhance computational performance for behavior prediction of tri-directional functionally graded plates using ensemble learning methods such as random forest, extreme gradient boosting, and light gradient boosting machine. Furthermore, the effectiveness of these methods is verified by comparing their results with those of artificial neural networks.

11p visarada 28-04-2025 1 1   Download

Dự báo bức xạ mặt trời chính xác là yếu tố kỹ thuật quan trọng trong việc tối ưu hóa hiệu suất các hệ thống điện mặt trời. Bài viết này đánh giá hiệu suất của ba mô hình học máy tiên tiến là Light Gradient Boosting Machine (LightGBM), Long Short-Term Memory (LSTM) và Gated Recurrent Unit (GRU) trong việc dự báo bức xạ mặt trời.

8p vifilm 11-10-2024 7 2   Download

This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.

18p viengfa 28-10-2024 2 2   Download

In this study, we aim to delineate landslide susceptibility zones within Dien Bien province, Vietnam, leveraging the capabilities of various machine learning models including Light Gradient Boosting Machine (LGBM), K-Nearest Neighbors (KNN), and Gradient Boosting (GB).

19p viengfa 28-10-2024 4 2   Download

This study delves into the application of machine learning (ML), specifically a Gradient Boosting (GB) model, for predicting the punching shear strength (PSS) of two-way reinforced concrete flat slabs.

16p viengfa 28-10-2024 3 2   Download

The Axial Load Capacity (ALC) of Concrete-Filled Steel Tubular (CFST) structural members is regarded as one of the most crucial technical factors for the design of these composite structures.

17p viengfa 28-10-2024 2 2   Download

This study focuses on optimizing the hyperparameters of the XGB model by a grid search to find an optimal XGB predictive model. In addition, the effect of input parameters on the SCCRF's CS is studied using Shapley Additive exExplanations (SHAP) values technique.

14p viengfa 28-10-2024 6 2   Download

Light Gradient Boosting Machine is a new machine learning technique developed by Microsoft corporation which has been proposed in the present study to determine the CBR of stabilized expansive soils. Model performance of the ML model are evaluated by different criteria such as correlation coefficient R, root mean square error RMSE and mean absolute error MAE.

8p viengfa 28-10-2024 4 2   Download

Nghiên cứu này đã thiết lập và đánh giá khả năng dự báo độ sâu sau nước nhảy của sáu mô hình học máy (ML), gồm có: Rừng cây ngẫu nhiên (Random Forest - RT), Tăng cường thích ứng (Adaptive Boosting – Ada), Tăng cường tốc độ (Cat Boosting – CB), Tăng cường độ dốc (Gradient Boosting - GB), Cây bổ sung (Extra Trees - ET) và Máy Vector hỗ trợ (Support Vector Machine – SVM).

15p viaburame 14-03-2025 2 1   Download

This paper presents a novel approach to enhancing the accuracy of precipitation estimation in Central Vietnam using the Extreme Gradient Boosting (XGBoost) machine learning model. The proposed method integrates multi-source data, combining satellite imagery from Himawari-8, atmospheric reanalysis from ERA-5, and digital elevation models from ASTER DEM to train the model.

9p tuetuebinhan000 23-01-2025 2 1   Download

Bài viết tập trung vào việc đánh giá và so sánh hiệu quả của các mô hình học máy dựa trên cây (Tree-based machine learning models) trong việc dự báo gian lận thẻ tín dụng. Các mô hình được xét gồm Decision Tree, Random Forest, Gradient Boosting Machines (GBM) và Extreme Gradient Boosting (XGBoost).

17p gaupanda068 02-01-2025 35 5   Download

This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability.

7p vibenya 31-12-2024 6 2   Download