Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution

Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo. Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing, 78(1):121-132, 2012. [doi]

@article{OhKPJ12,
  title = {Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution},
  author = {Sung-Kwun Oh and Wook-Dong Kim and Witold Pedrycz and Su-Chong Joo},
  year = {2012},
  doi = {10.1016/j.neucom.2011.06.031},
  url = {http://dx.doi.org/10.1016/j.neucom.2011.06.031},
  researchr = {https://researchr.org/publication/OhKPJ12},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {78},
  number = {1},
  pages = {121-132},
}