【24h】

Case-based Reasoning in Avian Influenza Risk Early Warning

机译:禽流感风险预警中基于案例的推理

获取原文
获取原文并翻译 | 示例

摘要

Techniques to predict epidemic diseases and generate early warnings are widely studied in current complex environments. Case-based reasoning (CBR) has advantages of using past experience to generate warnings for new situations. This paper presents a method by using CBR to map risks of avian influenza transmission of obscure reasons. This method applies fuzzy logic into CBR and combines CBR with expert rules to improve capacities of risk predictions. An illustrative system shows how to conduct risk prediction based on previous influenza cases, poultry trade history, and migratory birds' movement information.
机译:在当前复杂的环境中,预测流行病和产生预警的技术已得到广泛研究。基于案例的推理(CBR)的优点是可以利用过去的经验为新情况生成警告。本文提出了一种使用CBR绘制原因不清楚的禽流感传播风险的方法。该方法将模糊逻辑应用到CBR中,并将CBR与专家规则相结合以提高风险预测的能力。一个说明性的系统显示了如何根据以前的流感病例,家禽交易历史和候鸟的活动信息进行风险预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号