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Автор: Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi
Издательство: Springer
Год выхода: 2025
Страниц: 246
Формат: True PDF; True ePUB
Размер: 120 MB
Язык: английский
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 non-differentiability, vanishing gradient problems, and inactive neurons at negative inputs, which can affect the performance of neural networks, especially for tasks involving intricate nonlinear dynamics.