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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.
Applications of Fuzzy Theory-Based Approaches in Tunnelling
The setting parameters of Particle Swarm Optimization.
Operational data about the EGSBR system [2]
A bell-shaped membership function is specified by three parameters
Application of the hybrid ANFIS models for long term wind power
Parameters used in the predictive model with their categories
Parameters used in the predictive model with their categories
Physical meanings of the parameters in bell membership function
Fuzzy Control Lect 3 Membership Function and Approximate Reasoning
Attributes of khalwat offences dataset
Optimum subtractive clustering FIS structure for estimation of the