Title :
Model Selection for Power Efficient Analysis of Measurement Data
Author :
Marconato, A. ; Boni, A. ; Caprile, B. ; Petri, D.
Author_Institution :
Dipt. di Informatica e Telecomunicazioni, Universita degli Studi di Trento
Abstract :
In this work a novel analysis methodology of SVMs optimal solutions is presented. Such a methodology is based on a multiobjective optimization algorithm which exploits a genetic search paradigm. The application field is the design of smart microsensors, where both classification performance and complexity criteria have to be considered in order to balance accuracy and power consumption requirements
Keywords :
genetic algorithms; intelligent sensors; measurement theory; microsensors; support vector machines; genetic programming; measurement data; multiobjective optimization algorithm; power efficient analysis; smart microsensors; support vector machines; Computer aided manufacturing; Costs; Data analysis; Energy consumption; Genetic algorithms; Instrumentation and measurement; Intelligent sensors; Power measurement; Support vector machine classification; Support vector machines; Support Vector Machines (SVMs); genetic programming; model selection; smart sensors;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328652
