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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030357422 ISBN 13: 9783030357429
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. 2020 ed. 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.
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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