Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 62,91
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 65,31
Cantidad disponible: 1 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 60,87
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Good. Minimal markings from previous owner threwout pages.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 64,43
Cantidad disponible: 1 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 69,67
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 75,44
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 2020 ed.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 64,42
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 68,87
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 64,85
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 87,77
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 69,88
Cantidad disponible: 10 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 76,46
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 72,57
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Speedyhen, Hertfordshire, Reino Unido
EUR 58,40
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: NEW.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 98,52
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 104,51
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 101.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 111,30
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 120 pages. 9.25x6.10x0.28 inches. In Stock.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 74,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices' sizes to circuits' performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices' sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit's performances as input features and devices' sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies.
Librería: preigu, Osnabrück, Alemania
EUR 68,35
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Using Artificial Neural Networks for Analog Integrated Circuit Design Automation | João P. S. Rosa (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xviii | Englisch | 2020 | Springer | EAN 9783030357429 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Librería: Rarewaves.com UK, London, Reino Unido
EUR 70,12
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 2020 ed.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 62,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 79,32
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 120 pages. 9.25x6.10x0.28 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing Jan 2020, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 74,89
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices' sizes to circuits' performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices' sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit's performances as input features and devices' sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies. 120 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 107,97
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 101.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 108,04
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 101.
Idioma: Inglés
Publicado por Springer, Springer Jan 2020, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 74,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices' sizes to circuits' performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices' sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit's performances as input features and devices' sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch.