Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa

2015 ◽  
Vol 8 (10) ◽  
pp. 4825-4840 ◽  
Author(s):  
Galal Omer ◽  
Onisimo Mutanga ◽  
Elfatih M. Abdel-Rahman ◽  
Elhadi Adam
Keyword(s):  
Neural Network ◽  
South Africa ◽  
Artificial Neural Network ◽  
Support Vector Machines ◽  
Tree Species ◽  
Support Vector ◽  
Endangered Tree ◽  
Endangered Tree Species ◽  
Vector Machines ◽  
Artificial Neural

Research on the College Students’ Physique Test Based on Artificial Neural Network and Support Vector Machines Approach

2014 ◽  
Vol 945-949 ◽  
pp. 3558-3561
Author(s):  
Han Sheng Liu
Keyword(s):  
Neural Network ◽  
College Students ◽  
Artificial Neural Network ◽  
Support Vector Machines ◽  
Support Vector ◽  
Test Management ◽  
Vector Machines ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Health Test

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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