An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities

Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski. An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities. In Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis, editors, Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II. Volume 11140 of Lecture Notes in Computer Science, pages 422-433, Springer, 2018. [doi]

@inproceedings{GepperthSK18,
  title = {An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities},
  author = {Alexander Gepperth and Ayanava Sarkar and Thomas Kopinski},
  year = {2018},
  doi = {10.1007/978-3-030-01421-6_41},
  url = {https://doi.org/10.1007/978-3-030-01421-6_41},
  researchr = {https://researchr.org/publication/GepperthSK18},
  cites = {0},
  citedby = {0},
  pages = {422-433},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II},
  editor = {Vera Kurková and Yannis Manolopoulos and Barbara Hammer and Lazaros S. Iliadis and Ilias Maglogiannis},
  volume = {11140},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-01421-6},
}