Efficient design of sigmoid function for neural networks based FPGA is presented. Employing the hybrid CORDIC algorithm, the sigmoid function is described with VHDL in register transfer level. In order to enhance the efficiency and accuracy of implementation on Altera's FPGA, the technology of pipeline and look-up table have been utilized. Through comparing the results obtained by the post-simulation of EDA tools with the results directly accounted by Matlab, it can be concluded that the designed model works accurately and efficiently. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Chen, X., Wang, G., Zhou, W., Chang, S., & Sun, S. (2006). Efficient sigmoid function for neural networks based FPGA design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4113 LNCS-I, pp. 672–677). Springer Verlag. https://doi.org/10.1007/11816157_80
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