Browsing by Subject "Support vector machines"
Now showing items 1-1 of 1
Identifying Effective Variables Using Mutual Information and Building Predictive Models of Sulfur Dioxide Concentration with Support Vector Machines (Foundation Environmental Protection & Research-Fepr, 2010)Sulfur dioxide (SO2) is an issue of increasing public concern due to its recognized adverse effects on human health. Therefore, accurate SO2 prediction models are very important tools in developing public warning strategies. ...