Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis

Mark Girolami, Colin Fyfe. Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis. In George D. Smith, Nigel C. Steele, Rudolf F. Albrecht, editors, Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, ICANNGA 1997, Norwich, UK, 1997. pages 112-115, Springer, 1997. [doi]

@inproceedings{GirolamiF97-2,
  title = {Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis},
  author = {Mark Girolami and Colin Fyfe},
  year = {1997},
  doi = {10.1007/978-3-7091-6492-1_24},
  url = {https://doi.org/10.1007/978-3-7091-6492-1_24},
  researchr = {https://researchr.org/publication/GirolamiF97-2},
  cites = {0},
  citedby = {0},
  pages = {112-115},
  booktitle = {Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, ICANNGA 1997, Norwich, UK, 1997},
  editor = {George D. Smith and Nigel C. Steele and Rudolf F. Albrecht},
  publisher = {Springer},
  isbn = {978-3-211-83087-1},
}