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Published in:
2007 | OriginalPaper | Chapter
Impact of Shrinking Technologies on the Activation Function of Neurons
Authors : Ralf Eickhoff, Tim Kaulmann, Ulrich Rückert
Published in: Artificial Neural Networks – ICANN 2007
Publisher: Springer Berlin Heidelberg
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Artificial neural networks are able to solve a great variety of different applications, e.g. classification or approximation tasks. To utilize their advantages in technical systems various hardware realizations do exist. In this work, the impact of shrinking device sizes on the activation function of neurons is investigated with respect to area demands, power consumption and the maximum resolution in their information processing. Furthermore, analog and digital implementations are compared in emerging silicon technologies beyond 100 nm feature size.