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Digital hardware implementation of sigmoid function and its derivative for artificial neural networks

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3 Author(s)
H. Faiedh ; Lab. d'Electronique et de Microelectronique, Faculte des Sci. de Monastir, Tunisia ; Z. Gafsi ; K. Besbes

In this paper we propose a polynomial approximation of the sigmoid activation function and its derivative used in artificial neural networks, and we describe the design of the equivalent digital circuit using a floating-point representation for numbers. The simulation of the circuit realized with CMOS technology AMS 0.35μm under a frequency of 300 MHz shows the efficiency of the implementation.

Published in:

Microelectronics, 2001. ICM 2001 Proceedings. The 13th International Conference on

Date of Conference:

29-31 Oct. 2001