A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction

2021 ◽  
Author(s):  
Chenxi Huang ◽  
Junsheng Zhou ◽  
Jinling Chen ◽  
Jane Yang ◽  
Kathy Clawson ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Performance Prediction ◽  
Support Vector ◽  
Course Performance ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
Artificial Neural ◽  
Artificial Neural Network Algorithm

scholarly journals An Efficient Analysis of Road Accidents Severity Using Novel Support Vector Machines Over Artificial Neural Networks with Improved Accuracy Rate

2021 ◽  
Vol 11 (2) ◽  
pp. 1109-1122
Author(s):  
U. Sravan Kumar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Road Accident ◽  
Support Vector ◽  
Road Accidents ◽  
Severity Prediction ◽  
Neural Network Algorithm ◽  
Artificial Neural ◽  
Artificial Neural Network Algorithm

Aim: To perform an efficient analysis of road accidents severity prediction using Support Vector Machine and Artificial Neural Network algorithms. Materials and Methods: Road accident severity prediction is performed by Support Vector Machine algorithm (N=10) and Artificial Neural Network algorithm (N=10) using Traffic-crashes dataset. Results and Discussion: The road accident severity prediction using Support Vector Machine algorithm (Accuracy 83.6%) and with Artificial Neural Network algorithm (Accuracy 73.3%). There is no significant difference between the groups. Conclusion: Within the limits of this study, SVM algorithm has significantly better accuracy than ANN algorithm.

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