DocumentCode
2956751
Title
Simple activation functions for neural and fuzzy neural networks
Author
Mendil, Boubekeur ; Benmahammed, K.
Author_Institution
Dept. of Electr. Eng., Bejaia Univ., Algeria
Volume
5
fYear
1999
fDate
1999
Firstpage
347
Abstract
In this paper, we propose some activation functions designed to simplify the computational complexity and the hardware implementation of neural and fuzzy neural networks. These functions approximate the sigmoidal and the Gaussian shapes using only simple arithmetic operations. The simulation results show the good approximation capabilities of the resulting networks
Keywords
computational complexity; fuzzy neural nets; neural nets; transfer functions; Gaussian shapes; activation functions; approximation capabilities; arithmetic operations; computational complexity; fuzzy neural networks; hardware implementation; neural networks; sigmoidal shapes; Arithmetic; Artificial intelligence; Biological neural networks; Brain modeling; Computational modeling; Costs; Fuzzy neural networks; Humans; Mathematical model; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-5471-0
Type
conf
DOI
10.1109/ISCAS.1999.777580
Filename
777580
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