Tanh-like activation function implementation for high-performance digital neural systems

PRIME 2006: 2nd Conference on Ph.D. Research in MicroElectronics and Electronics - Proceedings

Volumn , Issue , 2006, Pages 237-240

  Marra, Salvatore ^a   Iachino, Maria A ^a   Morabito, Francesco C ^a  

^a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; FUNCTIONS;

ACTIVATION FUNCTIONS; DIGITAL IMPLEMENTATION; FUNCTION IMPLEMENTATION;

NEURAL NETWORKS;

EID: 34547381031     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

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2. C. Alippi and G. Storti-Gajani, "Simple approximation of sigmoidal functions: realistic design of digital neural networks capable of learning," Proc. of the IEEE International Sympsium on Circuits and Systems, Singapore, 1991, pp. 1505-1508.
3. th IEE International Conference on Circuits and Systems, vol. 1, 1999, pp. 411-414.
4. M.T. Tommiska, "Efficient digital implementation of the sigmoid function for reprogrammable logic", IEE Proc. on Comp. Digit. Tech., vol. 150, n° 6, 2003, pp. 403-411.
5. V. Beiu, J. A. Perperstraete, J. Vandewalle and R. Lauwereins, "VLSI complexity reduction by piece-wise approximation of the sigmoid function," Proc. of the European Symposium on Artificial Neural Networks, Brussels, 1994, pp. 181-186.