Investigation of Activation Functions for Generalized Learning Vector Quantization

Thomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden. Investigation of Activation Functions for Generalized Learning Vector Quantization. In Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero, editors, Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Volume 976 of Advances in Intelligent Systems and Computing, pages 179-188, Springer, 2019. [doi]

@inproceedings{VillmannRVNK19,
  title = {Investigation of Activation Functions for Generalized Learning Vector Quantization},
  author = {Thomas Villmann and Jensun Ravichandran and Andrea Villmann and David Nebel and Marika Kaden},
  year = {2019},
  doi = {10.1007/978-3-030-19642-4_18},
  url = {https://doi.org/10.1007/978-3-030-19642-4_18},
  researchr = {https://researchr.org/publication/VillmannRVNK19},
  cites = {0},
  citedby = {0},
  pages = {179-188},
  booktitle = {Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019},
  editor = {Alfredo Vellido and Karina Gibert and Cecilio Angulo and José David Martín-Guerrero},
  volume = {976},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-19642-4},
}