Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Design of Rectangular Microstrip Patch Antenna Using ANN | A Complete Study Analysis Design and Comparison of various Neural Network Algorithm | Bablu Kumar Singh | Taschenbuch | 84 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202059725 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Design of Rectangular Microstrip Patch Antenna based on Artificial Neural Network (ANN) is a concept which can be utilized successfully in designing of microstrip patch antenna. The Microstrip Patch Antenna can be developed in different shapes and due to their many attractive features it has drawn attention of industries and researchers over the past decades for an ultimate solution for wireless communication. The existing era of wireless communication has led to the design of an efficient, wide band, low cost and small volume antennas which can readily be incorporated into a broad spectrum of systems. This needs very accurate calculation of various design parameters. Patch dimensions of Patch antenna is a vital parameter in deciding its utility. The rectangular microstrip antennas are made up with dimensions of width and length over a ground plane with a substrate thickness and dielectric constants. This book exploits the capability of artificial neural networks to calculate the resonating frequency of Rectangular Microstrip Patch Antenna. Since Neural networks have recently gained attention as a fast and flexible vehicle to Electromagnetic modeling, simulations and optimization. 84 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh Bablu KumarBablu Kumar Singh is Associate Professor in Electronics & Communication Engineering at Jodhpur Institute of Engineering & Technology, Rajasthan, India. He earned his Bachelor of Engineering from Rajasthan University.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 35,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Design of Rectangular Microstrip Patch Antenna based on Artificial Neural Network (ANN) is a concept which can be utilized successfully in designing of microstrip patch antenna. The Microstrip Patch Antenna can be developed in different shapes and due to their many attractive features it has drawn attention of industries and researchers over the past decades for an ultimate solution for wireless communication. The existing era of wireless communication has led to the design of an efficient, wide band, low cost and small volume antennas which can readily be incorporated into a broad spectrum of systems. This needs very accurate calculation of various design parameters. Patch dimensions of Patch antenna is a vital parameter in deciding its utility. The rectangular microstrip antennas are made up with dimensions of width and length over a ground plane with a substrate thickness and dielectric constants. This book exploits the capability of artificial neural networks to calculate the resonating frequency of Rectangular Microstrip Patch Antenna. Since Neural networks have recently gained attention as a fast and flexible vehicle to Electromagnetic modeling, simulations and optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202059729 ISBN 13: 9786202059725
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 37,20
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design of Rectangular Microstrip Patch Antenna based on Artificial Neural Network (ANN) is a concept which can be utilized successfully in designing of microstrip patch antenna. The Microstrip Patch Antenna can be developed in different shapes and due to their many attractive features it has drawn attention of industries and researchers over the past decades for an ultimate solution for wireless communication. The existing era of wireless communication has led to the design of an efficient, wide band, low cost and small volume antennas which can readily be incorporated into a broad spectrum of systems. This needs very accurate calculation of various design parameters. Patch dimensions of Patch antenna is a vital parameter in deciding its utility. The rectangular microstrip antennas are made up with dimensions of width and length over a ground plane with a substrate thickness and dielectric constants. This book exploits the capability of artificial neural networks to calculate the resonating frequency of Rectangular Microstrip Patch Antenna. Since Neural networks have recently gained attention as a fast and flexible vehicle to Electromagnetic modeling, simulations and optimization.