Analysis of soil erosion characteristics in small watersheds with particle swarm optimization, support vector machine, and artificial neuronal networks

Environmental Earth Sciences

Volumn 60, Issue 7, 2010, Pages 1559-1568

  Yunkai, Li ^a,b   Yingjie, Tian ^c   Zhiyun, Ouyang ^b   Lingyan, Wang ^a   Tingwu, Xu ^a   Peiling, Yang ^a   Huanxun, Zhao ^d  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d Institute of Water Conservancy Science of Inner Mongolia   (China)

Author keywords

Characteristics extraction; Particle swarm algorithm; Small watershed; Soil erosion; Support vector machine

Indexed keywords

AFFECTING FACTORS; ARTIFICIAL NEURONAL NETWORK; AUTOMATIC SELECTION; AVERAGE ERRORS; CHANNEL DENSITY; CHARACTERISTICS EXTRACTION; COMPLEX MECHANISMS; COMPLEX PHYSICAL PROCESS; CORRELATION FEATURES; EXTENSION PROPERTIES; HIGH EFFICIENCY; HYDROLOGICAL PREDICTION; LOESS PLATEAU; PARTICLE SWARM ALGORITHM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PHYSICAL MODEL; PREDICTING MODELS; PREDICTION MODEL; PSO ALGORITHMS; SAND PRODUCTION; SAND ROCK; SELECTION ALGORITHM; SMALL SAMPLES; SMALL WATERSHEDS; SOIL EROSION; SVM ALGORITHM; VEGETATION COVERAGE;

DATA REDUCTION; FEATURE EXTRACTION; FORECASTING; LANDFORMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SAND; SOIL MECHANICS; SOILS; SUPPORT VECTOR MACHINES; VECTORS; WATERSHEDS;

GEOLOGIC MODELS;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHANNEL MORPHOLOGY; CORRELATION; DATA ASSIMILATION; EROSION RATE; LOESS; NUMERICAL MODEL; OPTIMIZATION; PLATEAU; SAND; SOIL EROSION; VEGETATION COVER; WATERSHED;

CHINA; HUANGFUCHUAN BASIN;

EID: 77953636153     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-009-0292-1     Document Type: Article

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