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Book Synopsis

Introduction.- Superior-order approximation functions for generating sigmoidal activation functions.- Superior-order approximation functions for generating radial basis activation functions.- Superior-order approximation functions for artificial neural networks applications.- Analysis and design of analog function synthesizers for implmenting sigmoidal activation functions.- Analysis and design of analog function synthesizers for generating radial basis activation functions.- Analysis and design of analog function synthesizers for artificial neural networks applications.- Low-voltage low-power current-mode CMOS computational circuits for implementing activation functions.- Conclusions.

Analog CurrentMode Computational Circuits for Artificial Neural Networks

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    A Hardback by Cosmin Radu Popa

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      View other formats and editions of Analog CurrentMode Computational Circuits for Artificial Neural Networks by Cosmin Radu Popa

      Publisher: Springer
      Publication Date: 27/01/2026
      ISBN13: 9783032039880, 978-3032039880
      ISBN10:
      Also in:
      Electronics: circuits and components

      Description

      Book Synopsis

      Introduction.- Superior-order approximation functions for generating sigmoidal activation functions.- Superior-order approximation functions for generating radial basis activation functions.- Superior-order approximation functions for artificial neural networks applications.- Analysis and design of analog function synthesizers for implmenting sigmoidal activation functions.- Analysis and design of analog function synthesizers for generating radial basis activation functions.- Analysis and design of analog function synthesizers for artificial neural networks applications.- Low-voltage low-power current-mode CMOS computational circuits for implementing activation functions.- Conclusions.

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