Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China

Water Resources Management

Volumn 25, Issue 11, 2011, Pages 2823-2836

  Deng, Jianqiang ^a,b   Chen, Xiaomin ^a   Du, Zhenjie ^a   Zhang, Yong ^a  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

^b Enshi Tobacco Company of Hubei Province   (China)

Author keywords

Artificial intelligence; Chaotic analysis; De noising methods; Soil water models; Wavelet

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AGRICULTURAL PRODUCTIONS; BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; CHAOTIC ANALYSIS; CHAOTIC TIME SERIES ANALYSIS; DELAY TIME; DENOISING METHODS; DYNAMIC CHANGES; EMBEDDING DIMENSIONS; LEAST SQUARES SUPPORT VECTOR MACHINES; MAXIMUM LYAPUNOV EXPONENT; METEOROLOGICAL FACTORS; NONLINEAR STOCHASTIC MODEL; PREDICTION SYSTEMS; PREPROCESS; RED SOILS; SIGNAL PREPROCESSING; SIMULATION ACCURACY; SOIL WATER; SOIL WATER CONTENT; SOIL WATER MODELS; WAVELET; WAVELET TRANSFORMATIONS;

AGRICULTURAL MACHINERY; AGRICULTURE; BACKPROPAGATION; CHAOTIC SYSTEMS; COMPUTER SIMULATION; DYNAMIC MODELS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; LYAPUNOV METHODS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; SOIL MOISTURE; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME SERIES; TIME SERIES ANALYSIS; WATER CONTENT; WAVELET DECOMPOSITION;

GEOLOGIC MODELS;

ARTIFICIAL INTELLIGENCE; CHAOS THEORY; NUMERICAL MODEL; SOIL MOISTURE; SOIL WATER; STOCHASTICITY; TIME SERIES ANALYSIS; WATER CONTENT; WAVELET ANALYSIS;

CHINA;

EID: 80051665983     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-011-9840-z     Document Type: Article

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