Analog Current-Mode Computational Circuits for Artificial Neural Networks (Hardcover)

Language: English

Published by Springer Nature Switzerland AG, Cham, 2025

3032039886 / 9783032039880

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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.…

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Title
Analog Current-Mode Computational Circuits for Artificial Neural Networks (Hardcover)
Author
Cosmin Radu Popa
Publisher
Springer Nature Switzerland AG, Cham
Publication year
2025
Condition
new
Binding
Hardcover
Language
English
ISBN 10
3032039886
ISBN 13
9783032039880

Grand Eagle Retail

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