Application of Projection Pursuit Evaluation Model Based on Real-Coded Accelerating Genetic Algorithm in Evaluating Wetland Soil Quality Variations in the Sanjiang Plain, ChinaEnglish Full Text
FU QIANG, XIE YONGGANG2 and WEI ZIMIN Sichuan University, Chengdu 610065 (China) Heilongjiang University, Harbin 150080 (China) Northeast Agricultural University, Harbin 150030 (China)
Abstract: A new technique of dimension reduction named projection pursuit is applied to model and evaluate wetland soil quality variations in the Sanjiang Plain, Helongjiang Province, China. By adopting the improved real-coded accelerating genetic algorithm （RAGA）, the projection direction is optimized and multidimensional indexes are converted into low-dimensional space. Classification of wetland soils and evaluation of wetland soil quality variations are realized by pursuing optimum projection direction and projection function value. Therefore, by adopting this new method, any possible human interference can be avoided and sound results can be achieved in researching qua,lity changes and classification of wetland soils.
Keywords：
evaluation; projection pursuit evaluation model; real-coded accelerating genetic algorithm; soil quality variations;
- Series：
(D) Agriculture
- Subject：
Fundamental Science of Agriculture; Agronomy
- Classification Code：
S153
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