bellvei.cat

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

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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