Optimized process of the random forest algorithm. حسب Hongxia Li (493545)

"…Then, a training set is randomly selected from known coal mine samples, and the training sample set is processed and analyzed using Matlab software. …"

The ANFIS algorithm details. حسب Mohammadmahdi Taheri (21722285)

"…Finally, in the FGP stage, optimization and purchase amount of each share was done. …"

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

Schematic diagram of Latin hypercube sampling. حسب Guilin Yang (583364)

Multi objective optimization design process. حسب Xueyong Pan (20390363)

Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Image_4_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg حسب Hua Guo (305546)

Description of optimal model parameters. حسب Libo Liu (552605)

Three sensor sample data with noise data. حسب Tang Ruipeng (20141334)

Parameter estimation process and performance. حسب Gennady Gorin (8466255)

Genetic algorithm flowchart. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

Improved random forest algorithm. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

K-means++ clustering algorithm. حسب Zhen Zhao (159931)

"…Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"

Construction process of RF. حسب Xini Fang (20861990)

"…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …"

Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

Sample classes from the HMDB51 dataset. حسب Yasir Khan Jadoon (21433231)

Image2_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF حسب Hao Bai (555291)