prior probability distribution meaning in Chinese

先验概率分布

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。