Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos. Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. In Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernardete Ribeiro, editors, Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I. Volume 4431 of Lecture Notes in Computer Science, pages 276-285, Springer, 2007. [doi]

@inproceedings{RiveroRDP07,
  title = {Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem},
  author = {Daniel Rivero and Juan R. Rabuñal and Julian Dorado and Alejandro Pazos},
  year = {2007},
  doi = {10.1007/978-3-540-71618-1_31},
  url = {http://dx.doi.org/10.1007/978-3-540-71618-1_31},
  tags = {classification, design},
  researchr = {https://researchr.org/publication/RiveroRDP07},
  cites = {0},
  citedby = {0},
  pages = {276-285},
  booktitle = {Adaptive and Natural Computing Algorithms, 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part I},
  editor = {Bartlomiej Beliczynski and Andrzej Dzielinski and Marcin Iwanowski and Bernardete Ribeiro},
  volume = {4431},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-71589-4},
}