Application of wavelet packet transform-radial basis function neural network in NIR spectroscopy for non-destructive determination of Cordyceps Gunnii mycelia powder

Proceedings - 2012 5th International Conference on Intelligent Computation Technology and Automation, ICICTA 2012

Volumn , Issue , 2012, Pages 114-118

  Teng, Guo Sheng ^a   Wu, Yun Cheng ^b   Wang, Na Yi ^c   Wang, Ying Chao ^b   Gao, Leng ^a   Liu, Ya Hui ^b  

^a CHANGCHUN UNIVERSITY OF TECHNOLOGY   (China)

^b THE FIRST HOSPITAL OF JILIN UNIVERSITY   (China)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Cordyceps gunnii; Near infrared spectroscopye; Radial basis function neural network; Wavelet packet transform

Indexed keywords

BASIS FUNCTIONS; CALIBRATION MODEL; CORDYCEPS GUNNII; DATA DISPOSAL; HIDDEN LAYER NEURONS; INPUT DATAS; INPUT NODE; MULTI SCALE ANALYSIS; NEAR INFRARED SPECTROSCOPYE; NETWORK PARAMETERS; NIR SPECTROSCOPY; NON DESTRUCTIVE; NON-LINEARITY; PRE-TREATMENT; PRINCIPAL COMPONENT; PRINCIPAL COMPONENT ANALYSIS (PCA); RADIAL BASIS FUNCTION NEURAL NETWORKS; REGRESSION COEFFICIENT; ROOT MEAN SQUARE ERRORS; WAVELET PACKET; WAVELET PACKET TRANSFORM; WAVELET PACKET TRANSFORMS;

INTERFERENCE SUPPRESSION; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; PROTEINS; STATISTICS;

INFRARED DEVICES;

EID: 84863285178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2012.35     Document Type: Conference Paper

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