Three parameters bell-shaped membership function; a, b and c.

Download scientific diagram | Three parameters bell-shaped membership function; a, b and c.  from publication: Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability | In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of monthly and weekly wind | Wind, Hybrid and Alternative Energy | ResearchGate, the professional network for scientists.

Meanings of the parameters in the generalized bell membership

Membership Function - an overview

Optimum subtractive clustering FIS structure for estimation of the

Membership Function - an overview

neural networks - How do we decide which membership function to

Laith HALABI, Assistant Professor

Membership Function - FasterCapital

Application of the hybrid ANFIS models for long term wind power

ANFIS-GA model.

3: Bell shape membership function parameters.

Fuzzy Membership Functions