The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. حسب Qiongfang Zhang (18055134)

Flow chart of INFO algorithm. حسب Qiongfang Zhang (18055134)

"…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …"

Weighted covariance matrix based GEDM model. حسب Ning Zhao (84707)

"…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …"

Model optimization flow by MFO algorithm. حسب Ruoqi Wang (14958062)

Algorithm for optimal decision determination in sequential decision-making. حسب Mariko I. Ito (5007323)

Algorithm for generating hyperparameter. حسب Balraj Preet Kaur (20370832)

"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Results of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

ROC comparison of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Model frame drawing. حسب Ning Zhao (84707)

"…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …"

Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm حسب Yu Gao (69071)

"…<p>In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids based on the improved dung beetle optimization algorithm is proposed. …"

Algorithm convergence diagram. حسب Yanqiu Li (683621)

"…Secondly, the improved ATHGS algorithm was used to optimize the parameters of GoogleNet to construct a new model, ATHGS-GoogleNet. …"

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

Optimization results of structural parameters. حسب Qiongfang Zhang (18055134)

"…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …"

INFO-KELM optimization results. حسب Qiongfang Zhang (18055134)

"…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …"

CA-WOA-BPNN model. حسب Bo Ni (1298154)

"…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …"

Recall curve of higher-order hybrid clustering algorithm incorporating LDA model. حسب Ning Zhao (84707)

Flow chart of INFO-KELM model. حسب Qiongfang Zhang (18055134)

"…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …"

W₁ output by meta-heuristic algorithms. حسب Bo Ni (1298154)

"…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …"

The parameter settings of the IPSO algorithm. حسب Guangyu Mu (762845)

"…Therefore, this paper constructs a hybrid forecasting model to solve this problem. First, this model introduces an improved inertia weight and an adaptive variation operation to enhance the Particle Swarm Optimization (PSO) algorithm. …"

Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"