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Dr. Rashmi Sinha, NIT Jamshedpur1. 2 Core: The core of a
Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability
A five-layer ANFIS architecture (equivalent of a two input first-order
Gaussian and generalized bell-shaped membership functions for
Applied Sciences, Free Full-Text
Generalized bell (Gbell) membership function.
Operational data about the EGSBR system [2]
Parameters used in the predictive model with their categories
B. HORAN, Professor (Associate), PhD, Deakin University, School of Engineering
Generalized Bell Membership Function Shape