Algorithm optimization process. by Zhihao Li (359073)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

Subjects:

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…The existence of uncontrollable factors affects the decision-making process, which is a problem for investors who are responsible for the final financial decisions on how to allocate their budgets to financial assets in their investment portfolios. …”

Quantitative results of three algorithms. by Zahoor Jan (20077515)

LHS distribution of three parameters. by Qiongfang Zhang (18055134)

Workpiece processing information. by Guilin Yang (583364)

“…Finally, in order to further verify the algorithm’s applicability in actual production processes, it was applied to solve scheduling problems in three flexible workshop scenarios and an aviation engine job shop scheduling in an enterprise. …”

The Search process of the genetic algorithm. by 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. …”

XGBoost algorithm training process. by Huijun Chen (148680)

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

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

Comparison of 3-D FEA and experimental waveforms. by Qiongfang Zhang (18055134)

Comparison of 3-D FEA and experimental harmonics. by Qiongfang Zhang (18055134)

The detailed process of the “Concat” program. by Wang Yang (311439)

Optimization results for fitness. by Ronghua Meng (20978441)

“…Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”

S3 Data - by Zhenjing Xie (18196063)

Fig 3 - by Xiaowen Ma (845262)

Scalability tests in three dimensions. by Yang Gao (18005)

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

Algorithm parameters. by Guilin Yang (583364)

“…Finally, in order to further verify the algorithm’s applicability in actual production processes, it was applied to solve scheduling problems in three flexible workshop scenarios and an aviation engine job shop scheduling in an enterprise. …”

Detail analysis of original image 3. by Zhenjing Xie (18196063)