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Synopsis
This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications.
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
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Analog Current-Mode Computational Circuits for Artificial Neural Networks (Hardcover)
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Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 3032039886
ISBN 13 : 9783032039880
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Hardcover. Etat : new. Hardcover. This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications. This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783032039880
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
Edité par
Springer-Verlag Gmbh Nov 2025, 2025
ISBN 10 : 3032039886
ISBN 13 : 9783032039880
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications. 397 pp. Englisch. N° de réf. du vendeur 9783032039880
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Analog Current-Mode Computational Circuits for Artificial Neural Networks (Hardcover)
Edité par
Springer Nature Switzerland AG, Cham, 2025
ISBN 10 : 3032039886
ISBN 13 : 9783032039880
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Hardcover. Etat : new. Hardcover. This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783032039880
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Analog Current-Mode Computational Circuits for Artificial Neural Networks (Analog Circuits and Signal Processing)
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
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Buch. Etat : Neu. Analog Current-Mode Computational Circuits for Artificial Neural Networks | Cosmin Radu Popa | Buch | Analog Circuits and Signal Processing | xxiii | Englisch | 2025 | Springer | EAN 9783032039880 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134315306
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
Edité par
Springer, Springer Nov 2025, 2025
ISBN 10 : 3032039886
ISBN 13 : 9783032039880
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch. N° de réf. du vendeur 9783032039880
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Analog Current-Mode Computational Circuits for Artificial Neural Networks (Analog Circuits and Signal Processing)
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Analog Current-Mode Computational Circuits for Artificial Neural Networks
Edité par
Springer-Verlag Gmbh Nov 2025, 2025
ISBN 10 : 3032039886
ISBN 13 : 9783032039880
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realization of activation functions for artificial neural networks (ANNs), is based on specific superior-order approximation functions. The author describes analog implementations in CMOS technology to increase the speed of operation, while reducing the hardware resources required for obtaining these approximation functions. Original architectures presented in this book, used for implementing previous CMOS computational structures, allow for operation independent of technological errors and temperature variations. SPICE simulations confirm the theoretically estimated results for previously presented CMOS computational structures, developed for ANNs and artificial intelligence applications. N° de réf. du vendeur 9783032039880
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Analog Current-Mode Computational Circuits for Artificial Neural Networks (Analog Circuits and Signal Processing)
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