DocumentCode :
459082
Title :
Modular Log-domain Multipliers for SVM Classifiers
Author :
Festila, Lelia ; Groza, Robert ; Cirlugea, Mihaela ; Topa, Marina
Author_Institution :
Dept. of Basis of Electron., Tech. Univ. of Cluj-Napoca
Volume :
1
fYear :
2006
fDate :
25-28 May 2006
Firstpage :
271
Lastpage :
274
Abstract :
We propose modular log-domain structures for implementing analog multipliers intended to be used in SVM (support vector machines) classifiers and neural network structures
Keywords :
neural nets; pattern classification; support vector machines; SVM classifier; analog multiplier; modular log-domain multiplier; neural network structure; support vector machine; Cellular networks; Computer architecture; Computer networks; Kernel; Learning automata; Neural networks; Polynomials; Support vector machine classification; Support vector machines; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Quality and Testing, Robotics, 2006 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
1-4244-0360-X
Electronic_ISBN :
1-4244-0361-8
Type :
conf
DOI :
10.1109/AQTR.2006.254540
Filename :
4022862
Link To Document :
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