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Volumn 30, Issue 2, 2010, Pages 327-330
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Rapid prediction of total organic carbon content and cec in soil using visible/near infrared spectroscopy
a
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Author keywords
BP neural networks; Genetic algorithm; Independent component analysis; Soil; Visible near infrared spectroscopy (Vis NIR)
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Indexed keywords
ARTIFICIAL NEURAL NETWORK;
BP MODEL;
BP NEURAL NETWORKS;
CALIBRATION MODEL;
CATION EXCHANGE CAPACITIES;
CORRELATION COEFFICIENT;
EVALUATION INDEX;
FAST INDEPENDENT COMPONENT ANALYSIS;
INDEPENDENT COMPONENTS;
INFRARED SPECTRUM;
LOCAL MINIMUMS;
MIXING MATRIX;
NEW APPROACHES;
RAPID DETECTION;
RATE OF CONVERGENCE;
ROOT-MEAN-SQUARE ERROR OF PREDICTIONS;
SOIL SAMPLE;
THREE-LEVEL;
TOTAL ORGANIC CARBON;
TOTAL ORGANIC CARBON CONTENT;
VISIBLE/NEAR INFRARED SPECTROSCOPY;
APPROXIMATION THEORY;
BACKPROPAGATION;
CALIBRATION;
CONVERGENCE OF NUMERICAL METHODS;
FORECASTING;
GENETIC ALGORITHMS;
GEOLOGIC MODELS;
HEMODYNAMICS;
INFRARED SPECTROSCOPY;
MULTIVARIANT ANALYSIS;
NEURAL NETWORKS;
ORGANIC CARBON;
SOIL SURVEYS;
SOILS;
SPECTRUM ANALYSIS;
INDEPENDENT COMPONENT ANALYSIS;
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EID: 77949558802
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: 10.3964/j.issn.1000-0593(2010)02-0327-04 Document Type: Article |
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Times cited : (8)
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References (8)
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