Digital hardware implementation of sigmoid function and its derivative for artificial neural networks
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 CM...
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Published in | ICM 2001 Proceedings. The 13th International Conference on Microelectronics pp. 189 - 192 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2001
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Subjects | |
Online Access | Get full text |
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