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Bayesian网中的独立关系

1 引言在不确定性下进行推理和做出决策的能力是智能行为的基础。在过去几十年中,大量研究人员尝试了多种方法研究不确定性知识的表示和运用,其中有证据理论模型、确定性因子、PROSPECTER模型、模糊集理论以及近年来逐渐成为主流的Bayesian网等。Bayesian网是图形表示方式和概率知识的有机结合.它  (本文共4页) 阅读全文>>

《信号处理》2020年05期
信号处理

均匀先验分布Bayesian自适应波束形成方法

针对UUV舷侧阵存在观测信号波达方向估计结果有误差的情况,提出了基于均匀先验分布的Bayesian自适应波束形成方法(UB)。该方法假设期望信号的到达方向是区间内服从均匀先验分布的一个变量,利用含有均匀先验...  (本文共6页) 阅读全文>>

《Journal of Systems Engineering and Electronics》2020年03期
Journal of Systems Engineering and Electronics

Bayesian inference for ammunition demand based on Gompertz distribution

Aiming at the problem that the consumption data of new ammunition is less and the demand is difficult to predict,combined with the law of ammunition consumption under different damage grades, a Bayesian inference method for ammunition demand based on Gompertz distribution is proposed. The Bayesian inference model based on Gompertz distribution is constructed,and the system contribution degree is intr...  (本文共11页) 阅读全文>>

《IEEE/CAA Journal of Automatica Sinica》2020年05期
IEEE/CAA Journal of Automatica Sinica

Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input

Prediction intervals(PIs) for industrial time series can provide useful guidance for workers. Given that the failure of industrial sensors may cause the missing point in inputs, the existing kernel dynamic Bayesian networks(KDBN), serving as an effective method for PIs construction, suffer from high computational load using the stochastic algorithm for inference.This study proposes a variational inference method for ...  (本文共9页) 阅读全文>>

《Nuclear Science and Techniques》2020年08期
Nuclear Science and Techniques

Fault prediction method for nuclear power machinery based on Bayesian PPCA recurrent neural network model

Early fault warning for nuclear power machinery is conducive to timely troubleshooting and reductions in safety risks and unnecessary costs. This paper presents a novel intelligent fault prediction method, integrated probabilistic principal component analysis(PPCA), multi-resolution wavelet analysis, Bayesian inference, and RNN model for nuclear power machinery that consider data uncertainty and chaotic time series. ...  (本文共11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>>