DocumentCode :
314542
Title :
The effects of limited precision implementation on the performance of radial basis functions
Author :
Sen, Selcuk ; Robertson, William ; Phillips, William
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. Nova Scotia, Halifax, NS, Canada
Volume :
1
fYear :
1997
fDate :
25-28 May 1997
Firstpage :
149
Abstract :
The authors present the effects of employing limited precision arithmetic on radial basis function networks (RBF). A statistical formula is first derived to obtain an analytical expression for the error so that it can be used for hand-calculations. A speech processing example is chosen to compare the theoretical results with its simulation counterparts. The results indicate that limited precision implementation achieves as nearly good recognition results as its floating counterpart
Keywords :
digital arithmetic; error analysis; feedforward neural nets; speech recognition; statistical analysis; analytical expression; error; limited precision arithmetic; performance; radial basis function networks; simulation; speech processing; speech recognition; statistical formula; Clustering algorithms; Equations; Euclidean distance; Floating-point arithmetic; Joining processes; Least squares approximation; Measurement standards; Radial basis function networks; Speech processing; Supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
ISSN :
0840-7789
Print_ISBN :
0-7803-3716-6
Type :
conf
DOI :
10.1109/CCECE.1997.614812
Filename :
614812
Link To Document :
بازگشت