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  • Fractional-Order Activation Functions for Neural Networks

    Case Studies on Forecasting Wind Turbines' Generated Power

    Series series Engineering (R0)
    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 to learn complex patterns in data. However, traditional activation functions have limitations such as ... Read more

    $172.97 CAD