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Venkata Ramana Kasi – författare

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3 produkter

  1. Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi - Fractional-Order Activation Functions for Neural Networks, Inbunden. Tillgänglighet: Lägg i varukorg

    Fractional-Order Activation Functions for Neural Networks

    Case Studies on Forecasting Wind Turbines' Generated Power

    Av Kishore Bingi, Ramadevi Bhukya m. fl.

    Inbunden, 2025

    1752 kr

    Lägg i varukorg

    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 …

  2. Venkata Ramana Kasi, Ramadevi Bhukya, Kishore Bingi - Fractional-Order Activation Functions for Neural Networks, E-bok. Tillgänglighet: Lägg i varukorg

    Fractional-Order Activation Functions for Neural Networks

    Case Studies on Forecasting Wind Turbines'' Generated Power

    Av Venkata Ramana Kasi, Ramadevi Bhukya m. fl.

    E-bok, 2025

    2201 kr

    Lägg i varukorg

    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 …

  3. Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi - Fractional-Order Activation Functions for Neural Networks, Häftad. Tillgänglighet: Lägg i varukorg

    Fractional-Order Activation Functions for Neural Networks

    Case Studies on Forecasting Wind Turbines' Generated Power

    Av Kishore Bingi, Ramadevi Bhukya m. fl.

    Häftad, 2026

    1752 kr

    Lägg i varukorg

    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 …