Fractional-Order Activation Functions for Neural Networks: Case Studies on Forecasting Wind Turbines' Generated Power (Studies in Systems, Decision and Control Book 588)
by Kishore Bingi, Ramadevi Bhukya, Venkata Ramana Kasi
This volume explores fractional-order activation functions for neural networks, with case studies on forecasting wind turbines' generated power. It brings together topics in neural-network design, computational modeling, systems, decision, and control, offering a focused resource for readers interested in these intersecting areas.
About This Book
This book examines fractional-order activation functions for neural networks.
It presents case studies centered on forecasting the power generated by wind turbines.
The subject connects neural-network techniques with systems, decision, and control applications.
It may interest readers studying computational methods, renewable-energy forecasting, and neural-network design.
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