3-D modeling of origin discrimination of fragrant mushrooms using visible/near infrared spectra

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 28, Issue 6, 2008, Pages 1232-1236

  Yang, Hai Qing ^a,b   He, Yong ^a   Chen, Yong Ming ^a   Lin, Ping ^a   Wu, Di ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

BP ANN; Fragrant mushroom; Genetic algorithm (GA); Principal component analysis (PCA); Visible near infrared spectra (Vis NIR)

Indexed keywords

BACKPROPAGATION; BIOELECTRIC PHENOMENA; CALIBRATION; DATA COMPRESSION; FINANCIAL DATA PROCESSING; FORECASTING; FUNCTION EVALUATION; FUNGI; GENETIC ALGORITHMS; INFRARED SPECTROSCOPY; ITERATIVE METHODS; LAW ENFORCEMENT; MICROCOMPUTERS; POPULATION STATISTICS; PRINCIPAL COMPONENT ANALYSIS; SET THEORY; STATISTICAL METHODS;

BINARY NUMBERS; CALIBRATION ERRORS; CROSSOVER RATES; FITNESS FUNCTIONS; GENETIC ALGORITHM (GA); HIGH-DIMENSION DATA; INFRARED (IR) SPECTRUM; INFRARED ABSORBANCE SPECTROSCOPY; ITERATION NUMBERS; MACHINE RECOGNITION; MIDDLE LAYERS; MODEL BASED (OPC); MODEL PREDICTIONS; MUTATION RATES; NEW MODEL; OUTPUT LAYERS; POPULATION SIZES; PREDICTION PERFORMANCE; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPLE COMPONENTS; RECOGNITION RATES; SAMPLE DISTRIBUTIONS; SELECTION METHODS; SPACE DIVISION; SPECTRAL DATA; THREE DIMENSIONAL (3 D) MODELING; THREE-DIMENSIONAL (3D) SPACE;

THREE DIMENSIONAL;

AGARICALES; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS;

AGARICALES; ALGORITHMS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY, NEAR-INFRARED;

EID: 47049085253     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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