TY - GEN
T1 - Fast implementation of neural network classification
AU - Seo, Guiwon
AU - Ok, Jiheon
AU - Lee, Chulhee
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Most artificial neural networks use a nonlinear activation function that includes sigmoid and hyperbolic tangent functions. Most artificial networks employ nonlinear functions such as these sigmoid and hyperbolic tangent functions, which incur high complexity costs, particularly during hardware implementation. In this paper, we propose new polynomial approximation methods for nonlinear activation functions that can substantially reduce complexity without sacrificing performance. The proposed approximation methods were applied to pattern classification problems. Experimental results show that the processing time was reduced by up to 50% without any performance degradations in terms of computer simulation.
AB - Most artificial neural networks use a nonlinear activation function that includes sigmoid and hyperbolic tangent functions. Most artificial networks employ nonlinear functions such as these sigmoid and hyperbolic tangent functions, which incur high complexity costs, particularly during hardware implementation. In this paper, we propose new polynomial approximation methods for nonlinear activation functions that can substantially reduce complexity without sacrificing performance. The proposed approximation methods were applied to pattern classification problems. Experimental results show that the processing time was reduced by up to 50% without any performance degradations in terms of computer simulation.
UR - http://www.scopus.com/inward/record.url?scp=84887934901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887934901&partnerID=8YFLogxK
U2 - 10.1117/12.2026666
DO - 10.1117/12.2026666
M3 - Conference contribution
AN - SCOPUS:84887934901
SN - 9780819497215
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Satellite Data Compression, Communications, and Processing IX
PB - SPIE
T2 - Satellite Data Compression, Communications, and Processing IX
Y2 - 26 August 2013 through 27 August 2013
ER -