Bayesian network approximate reasoning 贝叶斯网络近似推理
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
This paper introduces inference algorithm of Bayesian network and analyzes intrinsic characteristic and reasoning mode of situation assessment.
该文介绍了贝叶斯网络推理算法，分析了态势估计问题的本质特征和推理模式。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
以特征信息结构树为基础，对贝叶斯网络模型进行推理，来获得客户需求的兴趣集中点。
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