A method of honey plant classification based on IR spectrum: Extract feature wavelength using genetic algorithm and classify using linear discriminate analysis

3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010

Volumn , Issue , 2010, Pages 241-245

  Yang, Yan ^a,b   Nie, Peng Cheng ^a,c   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b GUANGXI TEACHERS EDUCATION UNIVERSITY   (China)

^c NANCHANG HANGKONG UNIVERSITY   (China)

Author keywords

Bayesian decision; Feature wavelength; Genetic arithmetic; Linear classifier

Indexed keywords

BAYESIAN; BAYESIAN DECISION; DISCRIMINATE ANALYSIS; ERROR RATE; FITNESS FUNCTIONS; GENETIC ARITHMETIC; HIGH DIMENSIONAL DATA; HIGHER DIMENSIONS; INFORMATION EXTRACTION; IR SPECTRUM; LDA CLASSIFIERS; LINEAR CLASSIFIERS; MODEL CLASSIFICATION; NEAR INFRARED SPECTRA; NEAR-INFRARED SPECTRUM; PLANT CLASSIFICATION; S-ALGORITHMS;

BAYESIAN NETWORKS; CALIBRATION; CLASSIFIERS; FUNCTION EVALUATION; GENETIC ALGORITHMS; INFORMATION SCIENCE; INFORMATION TECHNOLOGY; INFRARED DEVICES; INFRARED SPECTROSCOPY; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; WAVELENGTH;

FEATURE EXTRACTION;

EID: 77952687783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITSI.2010.105     Document Type: Conference Paper

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