A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting

@article{Mastorocostas2001ACO,
  title={A constrained orthogonal least-squares method for generating TSK fuzzy models: Application to short-term load forecasting},
  author={Paris A. Mastorocostas and Ioannis B. Theocharis and Vassilios Petridis},
  journal={Fuzzy Sets and Systems},
  year={2001},
  volume={118},
  pages={215-233}
}
In this paper, an orthogonal least-squares (OLS) based modeling method is developed, named the constrained OLS (C-OLS), for generating simple and efficient TSK fuzzy models. The method is a two-stage model building technique, where both premise and consequent identification are simultaneously performed. The fuzzy system is considered as a linear regression model by decomposing the TSK model into a collection of generic rules. The C-OLS algorithm is employed at stage-1 to identify the structure… CONTINUE READING

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