Controlled accuracy approximation of sigmoid function for efficient FPGA‐based implementation of artificial neurons-Reference-Cited by-同舟云学术

Controlled accuracy approximation of sigmoid function for efficient FPGA‐based implementation of artificial neurons

Published:2013-12 Issue:25 Volume:49 Page:1598-1600
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Campo I.¹,Finker R.¹,Echanobe J.¹,Basterretxea K.²

Affiliation:

1. Department of Electricity and Electronics, Faculty of Sciences and TechnologyUniversity of the Basque CountryLeioa48940VizcayaSpain

2. Department of Electronic Technology, Technical Industrial Engineering School of BilbaoUniversity of the Basque CountryBilbao48013VizcayaSpain

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2013.3098

Reference5 articles.

1. Artificial neural networks in hardware: A survey of two decades of progress

2. Low-error digital hardware implementation of artificial neuron activation functions and their derivative

3. An experimental study on nonlinear function computation for neural/fuzzy hardware design;Basterretxea K.;IEEE Trans. Neural Netw.,2007

4. Efficient VLSI implementation of neural networks with hyperbolic tangent activation function;Zamanlooy B.;IEEE Trans. Very Large Scale Integr. Syst.,2012

5. Xilinx: ‘LogiCORE IP DSP48 Macro v2.1’ http://www.xilinx.com/accessed September 2013

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