A Novel Algorithm for Classifying Measuring Curves Based on Interval Estimation

Di Zhao; Yi Fu; Chao Jie Wang; Hong Yi Li

doi:10.4028/www.scientific.net/AMR.734-737.3061

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 734-737A Novel Algorithm for Classifying Measuring Curves...

A Novel Algorithm for Classifying Measuring Curves Based on Interval Estimation

Abstract:

Due to noises and instrument defects, frequency-or time-domain measuring curves of a certain signal are usually different. It is then of great importance to recognize which signal a measuring curve belongs to, resulting in a classification problem. Considering the slow running speed of the commonly used classifier SVM, we propose a novel classification algorithm based on interval estimation. The complexity of our algorithm is linear to the class number. Experiment results demonstrate the feasibility and efficiency of the proposed algorithm.

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Periodical:

Advanced Materials Research (Volumes 734-737)

Pages:

3061-3064

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.734-737.3061

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Online since:

August 2013

Authors:

Di Zhao*, Yi Fu, Chao Jie Wang, Hong Yi Li

Keywords:

Interval Estimation, Measuring Curves Classification, Support Vector Machine (SVM), U-T Curves

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