کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
808104 905673 2009 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inference in hybrid Bayesian networks
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Inference in hybrid Bayesian networks
چکیده انگلیسی

Since the 1980s, Bayesian networks (BNs) have become increasingly popular for building statistical models of complex systems. This is particularly true for boolean systems, where BNs often prove to be a more efficient modelling framework than traditional reliability techniques (like fault trees and reliability block diagrams). However, limitations in the BNs’ calculation engine have prevented BNs from becoming equally popular for domains containing mixtures of both discrete and continuous variables (the so-called hybrid domains). In this paper we focus on these difficulties, and summarize some of the last decade's research on inference in hybrid Bayesian networks. The discussions are linked to an example model for estimating human reliability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 94, Issue 10, October 2009, Pages 1499–1509
نویسندگان
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