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Sinopsis
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
Publicado por
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Nuevo
Taschenbuch
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 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. Nº de ref. del artículo: 9786202197106
Cantidad disponible: 2 disponibles
Imagen del vendedor
Neural Network Modelling For Channel Equalization
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202197106
Cantidad disponible: 1 disponibles
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Neural Network Modelling For Channel Equalization
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 385934016
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Neural Network Modelling For Channel Equalization
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: zk6202197102
Cantidad disponible: 1 disponibles
Imagen del vendedor
Neural Network Modelling For Channel Equalization
Publicado por
LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6202197102
ISBN 13: 9786202197106
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786202197106
Cantidad disponible: 2 disponibles