A neuro-coevolutionary genetic fuzzy system to design soft sensors

@article{Delgado2009ANG,
  title={A neuro-coevolutionary genetic fuzzy system to design soft sensors},
  author={Myriam Regattieri Delgado and Elaine Yassue Nagai and L{\'u}cia Val{\'e}ria Ramos de Arruda},
  journal={Soft Comput.},
  year={2009},
  volume={13},
  pages={481-495}
}
This paper addresses a soft computing-based approach to design soft sensors for industrial applications. The goal is to identify second-order Takagi–Sugeno–Kang fuzzy models from available input/output data by means of a coevolutionary genetic algorithm and a neuro-based technique. The proposed approach does not require any prior knowledge on the data-base and rule-base structures. The soft sensor design is carried out in two steps. First, the input variables of the fuzzy model are pre-selected… CONTINUE READING
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