Performance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak Prediction
作者: Nor Azura HusinNorwati MustaphaMd. Nasir SulaimanRazali YaacobHazlina HamdanMasnida Hussin
刊名: Journal of Computer Science, 2016, Vol.12 (6), pp.300-306
来源数据库: Science Publications
DOI: 10.3844/jcssp.2016.300.306
原始语种摘要: Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. Some of the deficiencies in dengue epidemiology are insufficient awareness on the parameter as well as the combination among them. Most of the studies on dengue prediction use standalone models which face problem of finding the appropriate parameter since they need to apply try and error approach. The aim of this paper is to conduct experiments for determining the best network structure that has effective variable and fitting parameters in predicting the spread of the dengue outbreak. Four model structures were...
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  • dengue 登革热
  • Malaysia 马来西亚
  • develop 发展
  • prediction 预报
  • variable 变量
  • insufficient 不足的
  • problem 题目
  • outbreak 爆发
  • model 模型
  • approach