Applications of artificial neural networks for nonlinear data:
"This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"--
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"-- |
| Beschreibung: | 22 PDFs (315 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799840435 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Applications of artificial neural networks for nonlinear data |c Hiral Ashil Patel and A.V. Senthil Kumar, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning -- Section 2. Applications and analytics. Chapter 6. Predicting the determinants of mobile payment acceptance: a hybrid SEM-neural network approach ; Chapter 7. An integrated SEM-neural network approach for predicting mobile banking determinants of adoption in Turkey ; Chapter 8. Fault severity sensing for intelligent remote diagnosis in electrical induction machines: an application for wind turbine monitoring ; Chapter 9. Wavelet neural networks and equalization of nonlinear satellite communication channel ; Chapter 10. Meta-heuristic parameter optimization for ANN and real-time applications of ANN ; Chapter 11. Latest technology and future trends. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 09/26/2020). | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Nonlinear systems |x Data processing. | |
| 650 | 0 | |a Quantitative research |x Data processing. | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 700 | 1 | |a Kumar, A. V. Senthil |d 1966- |e editor. | |
| 700 | 1 | |a Patel, Hiral Ashil |d 1988- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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Datensatz im Suchindex
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| contents | Section 1. Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning -- Section 2. Applications and analytics. Chapter 6. Predicting the determinants of mobile payment acceptance: a hybrid SEM-neural network approach ; Chapter 7. An integrated SEM-neural network approach for predicting mobile banking determinants of adoption in Turkey ; Chapter 8. Fault severity sensing for intelligent remote diagnosis in electrical induction machines: an application for wind turbine monitoring ; Chapter 9. Wavelet neural networks and equalization of nonlinear satellite communication channel ; Chapter 10. Meta-heuristic parameter optimization for ANN and real-time applications of ANN ; Chapter 11. Latest technology and future trends. |
| ctrlnum | (CaBNVSL)slc00000772 (OCoLC)1150789797 |
| dewey-full | 001.4/20285632 |
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| indexdate | 2024-11-26T14:51:56Z |
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| isbn | 9781799840435 |
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| spelling | Applications of artificial neural networks for nonlinear data Hiral Ashil Patel and A.V. Senthil Kumar, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 22 PDFs (315 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning -- Section 2. Applications and analytics. Chapter 6. Predicting the determinants of mobile payment acceptance: a hybrid SEM-neural network approach ; Chapter 7. An integrated SEM-neural network approach for predicting mobile banking determinants of adoption in Turkey ; Chapter 8. Fault severity sensing for intelligent remote diagnosis in electrical induction machines: an application for wind turbine monitoring ; Chapter 9. Wavelet neural networks and equalization of nonlinear satellite communication channel ; Chapter 10. Meta-heuristic parameter optimization for ANN and real-time applications of ANN ; Chapter 11. Latest technology and future trends. Restricted to subscribers or individual electronic text purchasers. "This book is a collection of research on the contemporary nature of artificial neural networks and their specific implementations within data analysis"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/26/2020). Neural networks (Computer science) Nonlinear systems Data processing. Quantitative research Data processing. Neural networks (Computer science) fast Kumar, A. V. Senthil 1966- editor. Patel, Hiral Ashil 1988- editor. IGI Global, publisher. (Original) (DLC)2019059549 Print version: 1799840425 9781799840428 (DLC) 2019059549 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4042-8 Volltext |
| spellingShingle | Applications of artificial neural networks for nonlinear data Section 1. Concepts and categorization. Chapter 1. Literature Survey for applications of artificial neural networks ; Chapter 2. Comprehensive modelling of ANN ; Chapter 3. Fundamental categories of artificial neural networks ; Chapter 4. Applications of ANN for agriculture using remote sensed data ; Chapter 5. Classification approach for sentiment analysis using machine learning -- Section 2. Applications and analytics. Chapter 6. Predicting the determinants of mobile payment acceptance: a hybrid SEM-neural network approach ; Chapter 7. An integrated SEM-neural network approach for predicting mobile banking determinants of adoption in Turkey ; Chapter 8. Fault severity sensing for intelligent remote diagnosis in electrical induction machines: an application for wind turbine monitoring ; Chapter 9. Wavelet neural networks and equalization of nonlinear satellite communication channel ; Chapter 10. Meta-heuristic parameter optimization for ANN and real-time applications of ANN ; Chapter 11. Latest technology and future trends. Neural networks (Computer science) Nonlinear systems Data processing. Quantitative research Data processing. Neural networks (Computer science) fast |
| title | Applications of artificial neural networks for nonlinear data |
| title_auth | Applications of artificial neural networks for nonlinear data |
| title_exact_search | Applications of artificial neural networks for nonlinear data |
| title_full | Applications of artificial neural networks for nonlinear data Hiral Ashil Patel and A.V. Senthil Kumar, editors. |
| title_fullStr | Applications of artificial neural networks for nonlinear data Hiral Ashil Patel and A.V. Senthil Kumar, editors. |
| title_full_unstemmed | Applications of artificial neural networks for nonlinear data Hiral Ashil Patel and A.V. Senthil Kumar, editors. |
| title_short | Applications of artificial neural networks for nonlinear data |
| title_sort | applications of artificial neural networks for nonlinear data |
| topic | Neural networks (Computer science) Nonlinear systems Data processing. Quantitative research Data processing. Neural networks (Computer science) fast |
| topic_facet | Neural networks (Computer science) Nonlinear systems Data processing. Quantitative research Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4042-8 |
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