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
Fractional-Order Activation Functions for Neural Networks presents case studies on forecasting wind turbines' generated power. This book in the Studies in Systems, Decision and Control series explores advanced neural network techniques for renewable energy prediction and control systems.
About This Book
This volume, part of the Studies in Systems, Decision and Control series (Book 588), examines fractional-order activation functions applied to neural networks.
The focus is on practical case studies involving the forecasting of power generated by wind turbines.
Authors Kishore Bingi, Ramadevi Bhukya, and Venkata Ramana Kasi contribute to advancements in control systems and decision-making processes.
The content addresses innovative approaches to modeling and prediction in renewable energy applications.
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