论文信息 - Applying Self-Organizing Competition Artificial Neural Networks to Classify the Soil

Applying Self-Organizing Competition Artificial Neural Networks to Classify the Soil

Through applying the clustering function of Self-Organizing Mapping (SOM) network, the writer uses MATLAB 5.3 software to classify 21 kinds of soil samples in Sanjiang Plain. Through comparing the result with references that uses the method of fuzzy clustering, the paper concludes that the SOM network can reflect the complicated information among each soil samples. The effect of classification is good, and can be applied on soil classification. (Nature and Science 2003;1(1):75-81).

Qiang Fu | Xiangdong Ma

[1] Q Fu. Application of Projection Pursuit Evaluation Model Based on Real-Coded Accelerating Genetic Algorithm in Evaluating Wetland Soil Quality Variations in the Sanjiang Plain, China , 2003 .

[2] Fuqiang,et al. Application of Projection Pursuit Evaluation Model Based on Real—Coded Accelerating Genetic Algorithm in Evaluating Wetland Soil Quality Variations in the Sanjiang Plain, China , 2003 .