Table 8.
Metaheuristic Learning Techniques results.
Dataset | Technique | Metrics | References |
---|---|---|---|
Accuracy | |||
Cifar-100 | L4-Banched-ActionNet + EntACS + Cub-CVM | 98.00 | [175] |
Sbharpt | Ant-Colony, NB | 98.96 | [176] |
Ucihar | Bee swarm optimization with a deep Q-network | 98.41 | [177] |
Motionsense | Binary Grey Wolf Optimization | 93.95 | [178] |
Mhealth | 96.83 | ||
Uci Har | Genetic Algorithms-SVM | 96.43 | [171] |
Ucf50 | Genetic Algorithms-CNN | 87.5 | [172] |
Sbhar | GA-PCA | 95,71 | [173] |
Mnist | GA-CNN | 99.75 | [174] |
Cifar-100 | Genetic Algorithms-SVM | 98.00 | [175] |
Sbharpt | Genetic Algorithms-CNN | 98.96 | [176] |