A fast and parsimonious fuzzy neural network (FPFNN) for function approximation

@article{Wang2009AFA,
  title={A fast and parsimonious fuzzy neural network (FPFNN) for function approximation},
  author={Ning Wang and Xianyao Meng and Qingyang Xu},
  journal={Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference},
  year={2009},
  pages={4174-4179}
}
In this paper, a novel online self-constructing approach, named fast and parsimonious fuzzy neural network (FPFNN), which emerges the pruning strategy into the growing criteria, is proposed for a function approximator. The restrained growth not only speed up the online learning process but also build a more parsimonious fuzzy neural network while comparable… CONTINUE READING