双向推理 meaning in Chinese
bidirection reasoning
bidirectional inference
Examples
- Compared with the regular rule - based expert system , the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge , which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule , bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved
与一般基于规则的专家系统相比，贝叶斯网专家系统利用先验概率分布，可以使推理在输入数据不完备的基础上进行；以网络的拓扑结构表达定性知识，以网络节点的概率分布表达知识的不确定性，从而使不确定性知识的表达直观、明确；利用贝叶斯法则的基本原理，可以实现由因到果及由果到因的双向推理。 - By the browser / web server / database structure and the technology of asp . net and xml , we achieve the expert system running on the network , extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system , extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets , analyze the generalized possibility interval sets , and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining , researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine , make the upgrade simple and maintenance convenient . in the last , we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技术，实现了网络化的专家系统，同时扩大了专家系统的应用范围，提高了系统的后向兼容性；对专家系统中的知识表示技术作了深入探讨，在传统的基于规则的知识表示方法的基础上，提出了基于规则扩展的知识表示方法，并较好地将其应用到本系统中；引入了模糊集合，分析并推导了广义可能区间集，将其应用于模糊知识的表示，将语言变量和模糊集合结合起来；提出对系统采用交互式知识获取途径、双向推理控制策略，对不精确推理和不确定性推理的传播算法作了一定的研究，成功地将其应用到马铃薯专家系统的构建之中；采用知识库和推理机相分离的方法，使得系统升级简单易行。