A comparison of support vector machines, artificial neural network and classification tree for identifying soil texture classes in southwest China

2018 ◽  
Vol 144 ◽  
pp. 86-93 ◽  
Author(s):  
Wei Wu ◽  
Ai-Di Li ◽  
Xin-Hua He ◽  
Ran Ma ◽  
Hong-Bin Liu ◽  
...  
2014 ◽  
Vol 945-949 ◽  
pp. 3558-3561
Author(s):  
Han Sheng Liu

In recent years, China’s college students’ physique presents trend of declining. In the colleges and universities health test management, it produces the problems of only paying high attention to the test and evaluation but neglects the link of feedback and improvement. Based on artificial neural network (ANN) and support vector machines (SVM) approach, this paper makes use of the principle component analysis to conduct discussion on China's college students’ physique health test management mechanism design so as to further perfect current procedure of China's college students’ physique health test work, improve the quality of management work, improve the college students’ physique and truly reach the target for the college students’ overall development.


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