Analog Current-Mode Computational Circuits for Artificial Neural Networks
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Beschreibung
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. 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.
Describes low-voltage low-power designs for minimizing hardware resources required by neural network implementations Presents an analog synthesis of activation functions with many applications in artificial neural networks Analyzes high-accuracy CMOS computational circuits for implementing activation functions for artificial neural networks
Autor*in
Cosmin Radu Popa
Themen in »Analog Current-Mode Computational Circuits for Artificial Neural Networks«
Analog signal processing Artificial neural networks Neural networks Activation functions Low-voltage low-power CMOS circuits