Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System

@article{Campo2008EfficientHI,
  title={Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System},
  author={In{\'e}s del Campo and Javier Echanobe and Guillermo Bosque and Jos{\'e} Manuel Tarela},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2008},
  volume={16},
  pages={761-778}
}
This paper describes the development of efficient hardware/software (HW/SW) neuro-fuzzy systems. The model used in this work consists of an adaptive neuro-fuzzy inference system modified for efficient HW/SW implementation. The design of two different on-chip approaches are presented: a high-performance parallel architecture for offline training and a pipelined architecture suitable for online parameter adaptation. Details of important aspects concerning the design of HW/SW solutions are given… CONTINUE READING
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