Simulation of the availability index of soil copper content using general regression neural network

Environmental Earth Sciences

Volumn 64, Issue 7, 2011, Pages 1697-1702

  Xiuying, Zhang ^a,c   Zaiying, Ling ^b,c   Zhong, Taiyang ^a   Ke, Wang ^c  

^a NANJING UNIVERSITY   (China)

^b HANGZHOU NORMAL UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Availability index of soil Cu; General regression neural network; Soil properties; Total Cu concentration

Indexed keywords

ANIMAL HEALTH; AVAILABLE PHOSPHORUS; CONTROLLING FACTORS; COPPER CONTENT; FOOD CHAIN; GENERAL REGRESSION NEURAL NETWORK; GROUND TRUTH; HEAVY METAL CONCENTRATION; INFLUENCING FACTOR; LINEAR MODEL; PLANT GROWTH; RELATIVE ERRORS; SIMULATED RESULTS; SOIL PROPERTIES; TEST SAMPLES; TOTAL CU CONCENTRATION;

CHEMICAL CONTAMINATION; COMPUTER SIMULATION; GEOLOGIC MODELS; HEAVY METALS; MATHEMATICAL MODELS; NEURAL NETWORKS; PHOSPHORUS; POTASSIUM; REGRESSION ANALYSIS; SOIL TESTING; SOILS; VETERINARY MEDICINE;

SOIL POLLUTION;

ARTIFICIAL NEURAL NETWORK; BIOACCUMULATION; BIOLOGICAL UPTAKE; CONCENTRATION (COMPOSITION); COPPER; ERROR ANALYSIS; FOOD CHAIN; HEALTH RISK; INDEX METHOD; LINEARITY; NUMERICAL MODEL; ORGANIC MATTER; PH; PHOSPHORUS; POLLUTION EFFECT; POTASSIUM; REGRESSION ANALYSIS; SOIL TYPE;

ANIMALIA;

EID: 80955134167     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-0973-4     Document Type: Article

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