Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization

Ivan Nunes da Silva, Rogério Andrade Flauzino. Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization. In Francisco Sandoval Hernández, Alberto Prieto, Joan Cabestany, Manuel Graña, editors, Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings. Volume 4507 of Lecture Notes in Computer Science, pages 399-406, Springer, 2007. [doi]

@inproceedings{SilvaF07:0,
  title = {Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization},
  author = {Ivan Nunes da Silva and Rogério Andrade Flauzino},
  year = {2007},
  doi = {10.1007/978-3-540-73007-1_49},
  url = {http://dx.doi.org/10.1007/978-3-540-73007-1_49},
  tags = {optimization},
  researchr = {https://researchr.org/publication/SilvaF07%3A0},
  cites = {0},
  citedby = {0},
  pages = {399-406},
  booktitle = {Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings},
  editor = {Francisco Sandoval Hernández and Alberto Prieto and Joan Cabestany and Manuel Graña},
  volume = {4507},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-73006-4},
}