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.

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Parameters used in the predictive model with their categories

The setting parameters of Particle Swarm Optimization.

Comparison of WPD prediction from proposed methods when testing

Firdaus AFIFI, University of Malaya, Kuala Lumpur

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Application of the hybrid ANFIS models for long term wind power

PDF) Application of the hybrid ANFIS models for long term wind

Comparative Analysis of Different Types of Membership Functions

Application of the hybrid ANFIS models for long term wind power

Difference of judgement in training data