MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification

Stuti Chug, Vandana Agarwal. MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification. In International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023. pages 1-10, IEEE, 2023. [doi]

@inproceedings{ChugA23,
  title = {MFO-SENN: Self-evolving Radial Basis Function Neural Network using Moth Flame Optimization for Motor Imagery task Classification},
  author = {Stuti Chug and Vandana Agarwal},
  year = {2023},
  doi = {10.1109/IJCNN54540.2023.10192012},
  url = {https://doi.org/10.1109/IJCNN54540.2023.10192012},
  researchr = {https://researchr.org/publication/ChugA23},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-8867-9},
}