Skip to main content
Fractional-Order Activation Functions for Neural Networks: Case Studies on Forecasting Wind Turbines' Generated Power
WPU Library Resource
E-BookOpen Access Identifier: Not Checked

Fractional-Order Activation Functions for Neural Networks: Case Studies on Forecasting Wind Turbines' Generated Power

Bingi, Kishore;Bhukya, Ramadevi;Kasi, Venkata Ramana • 2025

Mathematics;Technology & Engineering | Mathematics / Applied;Technology & Engineering / Chemical & Biochemical;Technology & Engineering / Engineering (General);Technology & Engineering / Power Resources / General | Multi-Disciplinary

SubjectMathematics / Applied;Technology & Engineering / Chemical & Biochemical;Technology & Engineering / Engineering (General);Technology & Engineering / Power Resources / General
ProgramGeneral
ProviderSpringer Nature
Access TypeOpen Access
ScopeNot indicated
Campus AvailabilityAll / Not specified
FormateBook
LicenseNot indicated
Access Note: No institutional login is normally required.
Access Instructions: Open the resource link directly.

Resource Metadata

Author / CreatorBingi, Kishore;Bhukya, Ramadevi;Kasi, Venkata Ramana
Publisher / ProviderSpringer Nature
Resource TypeE-Book
Access TypeOpen Access
Subject AreaMathematics / Applied;Technology & Engineering / Chemical & Biochemical;Technology & Engineering / Engineering (General);Technology & Engineering / Power Resources / General
FormateBook
LanguageEnglish
Publication Year2025
Copyright Year2025
ISBN / ISSN9.78303E+12
Date Added2026-08-04 00:01:30
Updated Date2026-08-04 00:01:30

Citation Identifier Integrity

DOI/ISBN verification compares authoritative metadata without automatically changing the librarian-approved record.

Not Checked
Not yet checked by the verification service.
Access Resource Cite this Resource Find Similar

You may also like

Dynamic recommendations from related subjects and type.

Mastering LLM applications with LangChain and hugging face : practical insights into LLM deployment and use casesE-Book • Computers / Artificial Intelligence / Natural Language Processing;Computers / Data Science / Machine Learning;Computers / Data Science / Neural Networks;Computers / Distributed Systems / Cloud ComputingAzure OpenAI Essentials : a practical guide to unlocking generative AI-powered innovation with Azure OpenAIE-Book • Computers / Artificial Intelligence / Natural Language Processing;Computers / Data Science / Neural NetworksMastering spaCy: build structured NLP solutions with custom components and models powered by spacy-llm, second editionE-Book • Computers / Artificial Intelligence / Natural Language Processing;Computers / Data Science / Neural NetworksDeveloping AI applications : an introductionE-Book • Computers / Artificial Intelligence / General;Computers / Data Science / Neural Networks;Computers / Languages / PythonDeep learning and AI superhero : mastering TensorFlow, Keras, and PyTorchE-Book • Computers / Artificial Intelligence / General;Computers / Data Science / Neural Networks;Computers / Languages / PythonMastering neural network computer vision with tensorFlow and keras : A practical guide to image use cases like object detection, image segmentation and text recognitionE-Book • Computers / Artificial Intelligence / Computer Vision & Pattern Recognition

AIRA Workspace for this Resource

Use these grounded tools while reviewing this resource.

Citation Workspace

Discovery Tools

Availability

Available

Check access details above.
Citation

Bingi, K., Bhukya, R., & Kasi, V. R. (2025). Fractional-Order Activation Functions for Neural Networks: Case Studies on Forecasting Wind Turbines' Generated Power. Publisher not indicated. https://portal.igpublish.com/iglibrary/search/SPNA0108640.html

Save / Project

Add this resource to a saved research library or research project workspace.

Create Research Workspace