TY - JOUR
T1 - A new solution to the hyperbolic tangent implementation in hardware: polynomial modeling of the fractional exponential part
JF - Neural Computing and Applications [Impact Factor SJR2012: 1.168]
Y1 - 2013
A1 - Nascimento, Ivo
A1 - Jardim, Ricardo
A1 - Morgado, Dias F.
KW - Algorithms implemented in hardware
KW - CORDIC
KW - Gate arrays
KW - Hardware description languages
KW - Neural networks
AB - The most difficult part of an artificial neural network to implement in hardware is the nonlinear activation function. For most implementations, the function used is the hyperbolic tangent. This function has received much attention in relation to hardware implementation. Nevertheless, there is no consensus regarding the best solution. In this paper, we propose a new approach by implementing the hyperbolic tangent in hardware with a polynomial modeling of the fractional exponential part. The results in the paper then demonstrate, through the use of an example, that this solution is faster than the CORDIC algorithm, but slower than the piecewise linear solution with the same error. The advantage over the piecewise linear approach is that it uses less memory.
PB - Springer London
VL - 23
UR - http://dx.doi.org/10.1007/s00521-012-0919-0
ER -