• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >A WEB BASED EXPERT SYSTEM FOR MILCH COW DISEASE DIAGNOSIS SYSTEM IN CHINA
【24h】

A WEB BASED EXPERT SYSTEM FOR MILCH COW DISEASE DIAGNOSIS SYSTEM IN CHINA

机译：中国奶牛疾病诊断系统基于Web的专家系统

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A web-based multi-models expert system called DCDDS is presented in this paper, which developed for diagnosis of dairy cow diseases through the symptoms submitted by users on web. As it is accepted that the inference engine and the relevant knowledge representation are the crucial part of diagnosis expert system, which limits its application and popularization in animal disease diagnosis. To break the limit and raise accuracy, this paper compares and appraises the existed systems and presents a solution that contains three models-Case-based reasoning (CBR), Subjective Bayesian theory and D-S evidential theory. Accordingly a knowledge representation method which can support the three different models is also designed. Up to the complicacy of the group of symptoms users acquired, they can choose which of the three models should be adopted to meet the best resolve. The performance of the proposed system was evaluated by an application to the field of dairy cow disease diagnosis using a real example of dairy cow diseases. The result indicates that the new methods have improved the inference procedures of the expert systems, and have showed that the new architecture has some advantage over the conventional architectures of expert systems on both efficiency and accuracy.
机译：本文提出了一个基于Web的多模型专家系统DCDDS，该系统通过用户在Web上提交的症状来诊断奶牛疾病。推理引擎和相关知识表示是诊断专家系统的关键部分，这一点已为人们所接受，这限制了其在动物疾病诊断中的应用和推广。为了突破极限并提高准确性，本文对现有系统进行了比较和评估，提出了一种包含基于案例的推理（CBR），主观贝叶斯理论和D-S证据理论三个模型的解决方案。因此，还设计了一种可以支持三种不同模型的知识表示方法。根据所获得的一组症状用户的复杂性，他们可以选择应采用三种模型中的哪一种来实现最佳解决方案。通过使用奶牛疾病的实际例子，通过在奶牛疾病诊断领域的应用评估了所提出系统的性能。结果表明，新方法改进了专家系统的推理过程，并表明新体系结构在效率和准确性上均优于常规专家系统。

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