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Inhaltsangabe
This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.
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Reseña del editor
This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.
Biografía del autor
My name is Dr. Sunita Panda. I was born in Orissa and presently I am staying in Bangalore. I have a vast experience of teaching different engineering subjects including BE, AEC, DE, ACS, AC etc. I have also associated with different techniques for modelling of neural network for channel equalization.
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Neural Network Modelling For Channel Equalization
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results. 88 pp. Englisch. Bestandsnummer des Verkäufers 9786202197106
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Neural Network Modelling For Channel Equalization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Paperback. Zustand: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Bestandsnummer des Verkäufers zk6202197102
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Neural Network Modelling For Channel Equalization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Panda SunitaMy name is Dr. Sunita Panda. I was born in Orissa and presently I am staying in Bangalore. I have a vast experience of teaching different engineering subjects including BE, AEC, DE, ACS, AC etc. I have also associated wit. Bestandsnummer des Verkäufers 385934016
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Neural Network Modelling For Channel Equalization
Verlag:
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Bestandsnummer des Verkäufers 9786202197106
Anzahl: 2 verfügbar
Foto des Verkäufers
Neural Network Modelling For Channel Equalization
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results. Bestandsnummer des Verkäufers 9786202197106
Anzahl: 1 verfügbar