نتایج جستجو برای: bayesian networks
تعداد نتایج: 498093 فیلتر نتایج به سال:
This paper presents an extension of Bayesian networks (BN) applied to reliability analysis of an open gas generator cycle Liquid propellant engine (OGLE) of launch vehicles. There are several methods for system reliability analysis such as RBD, FTA, FMEA, Markov Chains, and etc. But for complex systems such as LV, they are not all efficiently applicable due to failure dependencies between compo...
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
‎The most challenging task in dealing with Bayesian networks is learning their structure‎. ‎Two classical approaches are often used for learning Bayesian network structure;‎ ‎Constraint-Based method and Score-and-Search-Based one‎. ‎But neither the first nor the second one are completely satisfactory‎. ‎Therefore the heuristic search such as Genetic Alg...
In this paper a new structure based on Bayesian networks is presented to improve mobile robot behavior, in which there exist faulty robot sensors. If a robot likes to follow certain behavior in the environment to reach its goal, it must be capable of making inference and mapping based on prior knowledge and also should be capable of understanding its reactions on the environment over time. Old ...
برای اطمینان از درستی کارکرد فرآیند های صنعتی، نیاز به ابزارهایی هست که وضعیت های نامطلوب عملکرد فرآیند را با دقت و سرعت بالا به راهبر فرآیند نشان دهد. یک روش موثر برای تشخیص و ردیابی عیوب، به کاهش اثر این عیوب، تأمین ایمنی عملیات، کم کردن عدم زمان کارکرد و کاهش هزینه های بازسازی کمک می کند. در حال حاضرbayesian belief networks (bbns) از جمله روش های مورد توجه جهت تعیین و تشخیص عیوب فرآیندها به ...
The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. strict requirement the acyclicity representing network does not allow efficiently solve most that modern theory prohibits use can significantly simplify general networks, development algorithms and their implementation program code calculatio...
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