A Neuro-Fuzzy Computing Model: Configuration, Algorithm and Functions

Proposes a neuro-fuzzy computing model which performs fuzzy logic operation with the classical three processes, 1) fuzzy description, 2) fuzzy inference, and 3) fuzzy conclusion resolution. The author programs an organizing algorithm whose convergence is analyzed and demonstrated theoretically. The fuzzy clustering function of the model is examined in thid paper. The model is applied to the classical clustering problem of the butterfly, and the computing results show that the neuro-fuzzy computing model is valuable.