Volume 9 Number 10 (Oct. 2014)
Home > Archive > 2014 > Volume 9 Number 10 (Oct. 2014) >
JCP 2014 Vol.9(10): 2258-2265 ISSN: 1796-203X
doi: 10.4304/jcp.9.10.2258-2265

ANN in Hardware with Floating Point and Activation Function Using Hybrid Methods

Maicon A. Sartin1,2, Alexandre C. R. da Silva2
1Department of Computing, Universidade do Estado de Mato Grosso - UNEMAT, Colider, MT, Brazil
2Department of Electrical Engineering, Universidade Estadual Paulista - UNESP, Ilha Solteira, SP, Brasil


Abstract—Artificial neural networks are bio-inspired models used mainly in the problems solution with nonlinear behavior. Reconfigurable devices (FPGA) are widely employed in the implementation of artificial neural networks. The contributions of this work is in the implementation of a Multilayer ANN with four neurons, one hidden layer and hyperbolic tangent for activation function. A nonlinear function approximation performed for system validation of artificial neural network. This paper makes analysis of nine scenarios with several methods to implementation of the activation function in ANN. Two hybrid methods are used in the approximations related to PWL method, Combinational and RALUT. Results are compared between distinct scenarios and the activation function with recent literature. The results were examined by performance, FPGA area and errors absolute and relative. Activation function has achieved the best average error in 10

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
  • Nov 14, 2019 News!

    Vol 14, No 11 has been published with online version   [Click]

  • Mar 20, 2020 News!

    Vol 15, No 2 has been published with online version   [Click]

  • Dec 16, 2019 News!

    Vol 14, No 12 has been published with online version   [Click]

  • Sep 16, 2019 News!

    Vol 14, No 9 has been published with online version   [Click]

  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Read more>>