Using fuzzy cognitive mapping and nonlinear Hebbian Learning for modeling, simulation and assessment of the climate system, based on a planetary boundaries framework

Iván Paz Ortiz, Carlos Gay-Garcia. Using fuzzy cognitive mapping and nonlinear Hebbian Learning for modeling, simulation and assessment of the climate system, based on a planetary boundaries framework. In 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications, SIMULTECH 2014, Vienna, Austria, August 28-30, 2014. pages 852-862, IEEE, 2014. [doi]

@inproceedings{OrtizG14,
  title = {Using fuzzy cognitive mapping and nonlinear Hebbian Learning for modeling, simulation and assessment of the climate system, based on a planetary boundaries framework},
  author = {Iván Paz Ortiz and Carlos Gay-Garcia},
  year = {2014},
  url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=7095124},
  researchr = {https://researchr.org/publication/OrtizG14},
  cites = {0},
  citedby = {0},
  pages = {852-862},
  booktitle = {4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications, SIMULTECH 2014, Vienna, Austria, August 28-30, 2014},
  publisher = {IEEE},
  isbn = {978-989-758-060-4},
}