| 1. | Sufficiency and necessity for the identifiability of an important type of ancillary information in a causal model
一类重要辅助信息在一类因果模型中可识别的充要条件 |
| 2. | Sufficiency and necessity for the identifiability of an important type of ancillary information in a causal model
一类重要辅助信息在一类因果模型中可识别的充要条件 |
| 3. | Glymour , c . ( 2001 ) . the mind ' s arrows : bayes nets and graphical causal models in psychology . mit press
《思维的箭：心理学中的贝氏网络和图形因果模型》麻省理工大学出版社 |
| 4. | Lastly , the current research ends with the findings of a causal model of adolescents ' internet use and personality traits as well as t he other influential factors
最后，在研究结果的基础上推导出一个青少年互联网使用、人格特征及其他影响因素的因果关系模型。 |
| 5. | ( 4 ) applying the relationships between faults and fealtures in probability causal model , the bp neural network is improved by adding the direct connections between the input nodes and the output nodes
( 4 )利用概率因果模型中征兆与故障之间的关系，对bp网络进行了改进，增加了输入与输出相关节点的直接联接。 |
| 6. | ( 3 ) the probability causal model and the connective model based on the probability causal for the fault diagnosis of steam turbine generator - set are put forward by the analysis of the relationships between the probability causal model and the parsimonious cover set theory
( 3 )通过概率因果模型与节约覆盖集理论关系的分析，建立了一种用于汽轮发电机组振动多故障诊断的概率因果模型和基于概率因果的联接模型。 |
| 7. | ( 8 ) considering that probability causal model has not a qualitative standard to select parsimonious rules and there could be a problem of " combination explosion " when there are so many faults in the model , a method which combines probability causal model and genetic algorithm is put forward
( 8 )针对概率因果模型对于节约原则的选取没有一个定量的标准和故障数目很奎庆大学博十学位论文多时问题解的“组合爆炸”问题，提出了一种将遗传算法和概率因果模型相结合的故障诊断方法。 |
| 8. | Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose , this paper focuses on the models and methods used to judge the multiple faults . these models and models , which are based on fuzzy sets theory , probability causal model , artificial neural network technology and genetic algorithms , are tested by some existing examples and some useful conclusions are drawn . all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在总结和借鉴前人关于汽轮发电机组状态监测和故障诊断的基础上，重点研究基于模糊集理论、概率因果模型、人工神经网络技术以及遗传算法的多故障诊断理论和方法，并用已有的汽轮发电机组振动故障事例进行了验证，得出了一些具有实用价值的结论，进一步丰富和推进了大型汽轮发电机组振动多故障诊断的理论，并提出了一些可靠的、实用的新方法。 |
| 9. | This course explores the history and debates over codifying the laws of probability , how probability theory applies to specific cognitive processes , how it relates to the human understanding of causality , and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning
本课程探索关于机率法则形成的历史和争论，机率理论如何运用于具体的认知过程，它与人类对因果的理解有著怎样的关系，以及新的关于因果模型计算方法怎样为理解人类的机率推理过程提供架构。 |
