A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization

Data publikacji: 28 wrz 2012

Zakres stron: 617 - 628

DOI: https://doi.org/10.2478/v10006-012-0047-0

Słowa kluczowe

Takagi–Sugeno fuzzy model, noise clustering algorithm, fuzzy c-regression model, orthogonal least squares, particle swarm optimization

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.