PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection

Serhat Kiliçarslan. PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection. J. Ambient Intelligence and Humanized Computing, 14(1):87-97, 2023. [doi]

@article{Kilicarslan23,
  title = {PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection},
  author = {Serhat Kiliçarslan},
  year = {2023},
  doi = {10.1007/s12652-022-04433-4},
  url = {https://doi.org/10.1007/s12652-022-04433-4},
  researchr = {https://researchr.org/publication/Kilicarslan23},
  cites = {0},
  citedby = {0},
  journal = {J. Ambient Intelligence and Humanized Computing},
  volume = {14},
  number = {1},
  pages = {87-97},
}