Fractional-Order Activation Functions for Neural Networks Case Studies on Forecasting Wind Turbines' Generated Power /

This book suggests the development of single and multi-layer fractional-order neural networks that incorporate fractional-order activation functions derived using fractional-order derivatives. Activation functions are essential in neural networks as they introduce nonlinearity, enabling the models t...

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