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1)  diagnosis tree
诊断树
1.
Method The thinking process of clinical doctors against the syndrome differentiation of the spleen-stomach diseases was summarized as a “diagnosis tree” by means of literature review and expert consultation.
【方法】通过文献复习和专家咨询 ,把脾胃病临床辨证思维逻辑过程总结为“诊断树” ,并根据诊断树末端的证型确定脾胃病辨证量表的条目池 ;根据量表制定原则 ,对条目池的条目进行量化和拆分 ,制定脾胃病辨证初选量表 ;再由专家对量表进行分析、综合、合并和删除 ,以及逆向翻译 ,作出进一步的修订。
2.
To solve the problems of expert systems such as low efficiency of search and poor maintenance of knowledge base which are caused by the greatly expansion of the fault knowledge of rotating machinery, a new framework of expert system based on priority and diagnosis tree was proposed.
针对旋转机械故障知识的膨胀导致的专家系统诊断效率低下以及知识库难以维护的问题,提出了一种新的、基于优先级诊断树的专家系统框架。
3.
A diagnosis tree is constructed based on rules and facts which are extracted from the knowledge and experience of sailboat training.
此系统将帆船训练和帆船比赛等有关的知识和经验转换成计算机可处理的规则和事实,建立基于规则和事实的诊断树;将Delphi扩展谓词技术应用于界面的显示和控制,方便的实现了专家系统的诊断界面随着诊断的深入,一步步动态变化的过程。
2)  diagnostic decision tree
诊断决策树
1.
The costs and diagnostic importance factor(CDIF) is introduced to evaluate the influences which the test costs have on the BIT diagnosis,and binary decision diagram(BDD) is applied to analyze the fault tree qualitatively and quantitatively,and consequently,the BIT diagnostic decision tree .
为解决故障搜索时的多径问题,以故障树模型为基础,综合考虑可靠性和测试费用等因素提出了一种航空电子系统BIT诊断策略设计新方法;引入费用诊断重要度(CDIF)来衡量测试费用对BIT故障诊断的影响,利用二元决策图对故障树进行定性和定量分析,据此构建出基于最小割集和CDIF的BIT诊断决策树;在某型机载INS/GPS组合导航系统BIT设计中的应用验证了该方法的有效性与实用性,与基于AO*搜索和基于贪婪算法的两种诊断策略设计方法比较可知该方法的计算复杂度更小。
3)  failure diagnostic tree
故障诊断树
1.
In this paper,the authors proposes a failure diagnostic tree and knowledge evolutionary patterns for the vehi-cle s failure diagnosis using KDD in large scale databases.
论文提出了在大型数据库中,为飞行器故障诊断的KDD故障诊断树和知识演变模式。
4)  fault-diagnosis binary tree
故障诊断二叉树
5)  LDRT
LARS诊断回归树
1.
So this article proposes to fit a piecewise linear regression model by recursively portioning the data and fitting a different linear regression in each partition, named LARS Diagnostics Regression Tree (LDRT).
本文提出LARS诊断回归树(LDRT)的方法。
6)  diagnosis and prevention of fruit diseases and pests
果树病虫害诊断与防治
1.
Considering the characteristics and requirements of diagnosis and prevention of fruit diseases and pests,a case-based reasoning apply to diagnosis and prevention of fruit diseases and pests.
根据果树病虫害诊断与防治的特点和要求,将案例推理技术引入到果树病虫害诊断与防治专家系统设计中。
补充资料:海南龙血树(小花龙血树)
DracaenacambodianaPierreexGagnep.

百合科Liliaceae

乔木状,高3-4m。叶聚生于茎和枝顶,几呈套叠状,长约70cm,抱茎,无柄。圆锥花序长约30cm,花序轴无毛或近无毛。分布于海南西南部,生于背风区的干燥砂土上。越南、柬埔寨也有分布。国家三级保护濒危种。
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