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Bayesian网中概率参数学习方法

Bayesian网已经成为AI领域的研究热点 ,并在现代专家系统、诊断系统及决策支持系统中发挥着至关重要的作用 .Bayesian网的研究主要集中在三个方面 :知识表示、学习与推理 .概率知识是Bayesian网坚实的数学基础 ,从数据中学习分布参数使得Bayesian网  (本文共4页) 阅读全文>>

《电子学报》2003年05期
电子学报

基于遗传算法的动态Bayesian网结构学习的研究

动态Bayesian网是复杂随机过程的图形表示形式 ,从数据中学习建造动态Bayesian网是目前的研究热点问题 .本文针对该问题提出了一种遗传算法 .文中设计了结合数学期望的适应度函数 ,该函数利用进化过程中的最好动态Bayesia...  (本文共5页) 阅读全文>>

《Journal of Beijing Institute of Technology(English Edition)》2003年01期
Journal of Beijing Institute of Technology(English Edition)

Self-Organizing Genetic Algorithm Based Method for Constructing Bayesian Networks from Databases

The typical characteristic of the topology of Bayesian networks (BNs) is the interdependence among different nodes (variables), which makes it impossible to optimize one variable independently of others, and the learning of BNs structures by general genetic algorithms is liable to converge to local extremum. To resolve efficiently this problem, a self-organizing genetic algorithm (SGA) based method for constructing B...  (本文共5页) 阅读全文>>

《International Journal of Plant Engineering and Management》2003年01期
International Journal of Plant Engineering and Management

The Diagnosis of Reciprocating Machinery by Bayesian Networks

A Bayesian Network is a reasoning tool based on probability theory and has many advantages that other reasoning tools do not have. This paper discusses the basic theory of Bayesian net...  (本文共6页) 阅读全文>>

《China Ocean Engineering》2019年01期
China Ocean Engineering

Failure Statistics Analysis Based on Bayesian Theory: A Study of FPSO Internal Turret Leakage

The load and corrosion caused by the harsh marine environment lead to the severe degradation of offshore equipment and to their compromised security and reliability. In the quantitative risk analysis, the failure models are difficult to establish through traditional statistical methods. Hence, the calculation of the occurrence probability of small sample events is often met with great uncertainty. In this study, the ...  (本文共12页) 阅读全文>>

《Big Data Mining and Analytics》2019年03期
Big Data Mining and Analytics

Bayesian Analysis of Complex Mutations in HBV, HCV,and HIV Studies

In this article, we aim to provide a thorough review of the Bayesian-inference-based methods applied to Hepatitis B Virus(HBV), Hepatitis C Virus(HCV), and Human Immunodeficiency Virus(HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. It is particularly difficult to detect and interpret these interacting mutation patterns, but by using Baye...  (本文共14页) 阅读全文>>