Flood Disaster Evaluation Model Based on Kernel Dual Optimization Support Vector Machine

2013 ◽  
Vol 12 (12) ◽  
pp. 2412-2418 ◽  
Author(s):  
Weiping Deng ◽  
Jianzhong Zhou ◽  
Qiang Zou ◽  
Jian Xiao ◽  
Yongchuan Zhang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Evaluation Model ◽  
Flood Disaster ◽  
Support Vector ◽  
Model Based

Sound feature space effects on the performance of annoyance evaluation model based on support vector machine

2019 ◽  
Vol 154 ◽  
pp. 99-113 ◽  
Author(s):  
Tianpei Feng ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Ping Zhou ◽  
Hui Guo ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Evaluation Model ◽  
Feature Space ◽  
Support Vector ◽  
Model Based ◽  
Space Effects

scholarly journals Risk Assessment of Warship (Automatic) Navigation Plan Based on SVM

2018 ◽  
Vol 228 ◽  
pp. 02011
Author(s):  
Hui Song
Keyword(s):  
Risk Assessment ◽  
Support Vector Machine ◽  
Historical Data ◽  
Evaluation Model ◽  
Learning Ability ◽  
Support Vector ◽  
Extraction Ability ◽  
Model Based ◽  
Automatic Navigation ◽  
Self Learning

The automatic control of naval vessels is based on the navigational plan, and the navigational safety depends on the scientific nature of the plan, so the risk assessment of the navigational plan is very important. At present, the commonly used evaluation methods are too subjective. In this paper, an evaluation model based on support vector machine is proposed, and the empirical study is carried out with historical data. The results show that the evaluation model based on support vector machine has good self-learning ability and feature extraction ability, which can provide reference for the risk assessment of naval vessels.

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