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Sinopsis
This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural Networks (ANNs) Technique is illustrated with its Fundamentals, Data Collection, Analysis and Processing, Structure Design, Number of Hidden Layers, Number of Hidden Units, Initializing Back-Propagation feed-forward network, Training, simulation, Weights and Bias, Testing, Derived mathematical equations and Graphical user interface. The adopted nonparametric ANN examples here are: Photovoltaic (PV) modeling, PM Synchronous m/c performance improvement, Storage Unit modeling, PV module Genetic Modeling, Petroleum Application for archie parameters estimation, dc-dc duty cycle Converter Estimation, Horizontal Axis Wind Turbines modeling and Capacitive Deionization (CDI) characteristics modeling for desalination application.
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Reseña del editor
This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural Networks (ANNs) Technique is illustrated with its Fundamentals, Data Collection, Analysis and Processing, Structure Design, Number of Hidden Layers, Number of Hidden Units, Initializing Back-Propagation feed-forward network, Training, simulation, Weights and Bias, Testing, Derived mathematical equations and Graphical user interface. The adopted nonparametric ANN examples here are: Photovoltaic (PV) modeling, PM Synchronous m/c performance improvement, Storage Unit modeling, PV module Genetic Modeling, Petroleum Application for archie parameters estimation, dc-dc duty cycle Converter Estimation, Horizontal Axis Wind Turbines modeling and Capacitive Deionization (CDI) characteristics modeling for desalination application.
Biografía del autor
Assistant Prof. Engineering Science Dept. Faculty of Petroleum & Min. Eng. Suez University, Egypt. He was Visiting Researcher, ECE Dept. Green Energy Lab, OSU, USA. His interests: Smart Grids; Electric Machines;Drives; Power Electronics; Power Systems; Control Systems; Neural Networks, Genetic. He is IEEE, ASEE,IAENG, IACSIT, SAE, EES, WASET Member
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- EditorialScholars' Press
- Año de publicación2014
- ISBN 10 3639711149
- ISBN 13 9783639711141
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas192
- Contacto del fabricanteno disponible
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Artificial Neural Network (ANN)
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El Shahat AdelAssistant Prof. Engineering Science Dept. Faculty of Petroleum & Min. Eng. Suez University, Egypt. He was Visiting Researcher, ECE Dept. Green Energy Lab, OSU, USA. His interests: Smart Grids Electric MachinesDrives . Nº de ref. del artículo: 4999341
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Artificial Neural Network (ANN)
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Scholars' Press Feb 2014, 2014
ISBN 10: 3639711149
ISBN 13: 9783639711141
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural Networks (ANNs) Technique is illustrated with its Fundamentals, Data Collection, Analysis and Processing, Structure Design, Number of Hidden Layers, Number of Hidden Units, Initializing Back-Propagation feed-forward network, Training, simulation, Weights and Bias, Testing, Derived mathematical equations and Graphical user interface. The adopted nonparametric ANN examples here are: Photovoltaic (PV) modeling, PM Synchronous m/c performance improvement, Storage Unit modeling, PV module Genetic Modeling, Petroleum Application for archie parameters estimation, dc-dc duty cycle Converter Estimation, Horizontal Axis Wind Turbines modeling and Capacitive Deionization (CDI) characteristics modeling for desalination application. 192 pp. Englisch. Nº de ref. del artículo: 9783639711141
Cantidad disponible: 2 disponibles
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Artificial Neural Network (ANN) : Smart & Energy Systems Applications
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural Networks (ANNs) Technique is illustrated with its Fundamentals, Data Collection, Analysis and Processing, Structure Design, Number of Hidden Layers, Number of Hidden Units, Initializing Back-Propagation feed-forward network, Training, simulation, Weights and Bias, Testing, Derived mathematical equations and Graphical user interface. The adopted nonparametric ANN examples here are: Photovoltaic (PV) modeling, PM Synchronous m/c performance improvement, Storage Unit modeling, PV module Genetic Modeling, Petroleum Application for archie parameters estimation, dc-dc duty cycle Converter Estimation, Horizontal Axis Wind Turbines modeling and Capacitive Deionization (CDI) characteristics modeling for desalination application. Nº de ref. del artículo: 9783639711141
Cantidad disponible: 1 disponibles