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Volumn 29, Issue 3, 2009, Pages 656-660
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Analysis of infrared spectroscopy of ginsengs by support vector machine and wavelet transform
a
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Author keywords
Artificial neural networks; Establishing model; Infrared spectroscopy; Support vector machine; Wavelet transform
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Indexed keywords
BACKPROPAGATION;
CLASSIFIERS;
FOURIER TRANSFORMS;
IDENTIFICATION (CONTROL SYSTEMS);
IMAGE RETRIEVAL;
NEURAL NETWORKS;
PATTERN RECOGNITION;
RADIAL BASIS FUNCTION NETWORKS;
SPECTROSCOPIC ANALYSIS;
SPECTRUM ANALYSIS;
SUPPORT VECTOR MACHINES;
TECHNOLOGY;
VECTORS;
WAVELET TRANSFORMS;
ACCURACY RATES;
ARTIFICIAL NEURAL NETWORKS;
AVERAGING METHODS;
BASELINE DRIFTS;
ESTABLISHING MODEL;
FIRST DERIVATIVES;
FOURIER TRANSFORM INFRARED;
IDENTIFICATION MODELS;
IR SPECTROSCOPIES;
MOVING WINDOWS;
NUMBER OF SAMPLES;
PATTERN RECOGNITION TECHNOLOGIES;
RADIAL-BASIS FUNCTIONS;
SAVITZKY-GOLAY;
SIMULATION EXPERIMENTS;
SPECTRAL DIFFERENCES;
SUPPORT VECTOR MACHINE;
SVM ALGORITHMS;
SVM CLASSIFIERS;
SVM MODELS;
TECHNOLOGY SUPPORTS;
TRAINING PARAMETERS;
INFRARED SPECTROSCOPY;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
ARTIFICIAL NEURAL NETWORK;
CHEMISTRY;
GINSENG;
INFRARED SPECTROSCOPY;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
NEURAL NETWORKS (COMPUTER);
PANAX;
SPECTROSCOPY, FOURIER TRANSFORM INFRARED;
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EID: 61949474673
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: 10.3964/j.issn.1000-0593(2009)03-0656-05 Document Type: Article |
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Times cited : (5)
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References (19)
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